import csv
from pymongo import MongoClient
import numpy as np
import pandas as pd
pd.options.display.max_columns = 100
mongoClient = MongoClient()
db = mongoClient.october_mug_talk
db.nosql.drop()
header = ["id","diagnosis","radius_mean","texture_mean","perimeter_mean","area_mean","smoothness_mean","compactness_mean","concavity_mean","concave points_mean","symmetry_mean","fractal_dimension_mean","radius_se","texture_se","perimeter_se","area_se","smoothness_se","compactness_se","concavity_se","concave points_se","symmetry_se","fractal_dimension_se","radius_worst","texture_worst","perimeter_worst","area_worst","smoothness_worst","compactness_worst","concavity_worst","concave points_worst","symmetry_worst","fractal_dimension_worst"]
filename = open('//Users/adhityagopal/Documents/sem 7/no sql/project/data.csv', 'r')
reader = csv.DictReader( filename )
for each in reader:
rows={}
for field in header:
rows[field]=each[field]
print (rows)
db.nosql.insert_one(rows)
{'id': '842302', 'diagnosis': 'M', 'radius_mean': '17.99', 'texture_mean': '10.38', 'perimeter_mean': '122.8', 'area_mean': '1001', 'smoothness_mean': '0.1184', 'compactness_mean': '0.2776', 'concavity_mean': '0.3001', 'concave points_mean': '0.1471', 'symmetry_mean': '0.2419', 'fractal_dimension_mean': '0.07871', 'radius_se': '1.095', 'texture_se': '0.9053', 'perimeter_se': '8.589', 'area_se': '153.4', 'smoothness_se': '0.006399', 'compactness_se': '0.04904', 'concavity_se': '0.05373', 'concave points_se': '0.01587', 'symmetry_se': '0.03003', 'fractal_dimension_se': '0.006193', 'radius_worst': '25.38', 'texture_worst': '17.33', 'perimeter_worst': '184.6', 'area_worst': '2019', 'smoothness_worst': '0.1622', 'compactness_worst': '0.6656', 'concavity_worst': '0.7119', 'concave points_worst': '0.2654', 'symmetry_worst': '0.4601', 'fractal_dimension_worst': '0.1189'}
{'id': '842517', 'diagnosis': 'M', 'radius_mean': '20.57', 'texture_mean': '17.77', 'perimeter_mean': '132.9', 'area_mean': '1326', 'smoothness_mean': '0.08474', 'compactness_mean': '0.07864', 'concavity_mean': '0.0869', 'concave points_mean': '0.07017', 'symmetry_mean': '0.1812', 'fractal_dimension_mean': '0.05667', 'radius_se': '0.5435', 'texture_se': '0.7339', 'perimeter_se': '3.398', 'area_se': '74.08', 'smoothness_se': '0.005225', 'compactness_se': '0.01308', 'concavity_se': '0.0186', 'concave points_se': '0.0134', 'symmetry_se': '0.01389', 'fractal_dimension_se': '0.003532', 'radius_worst': '24.99', 'texture_worst': '23.41', 'perimeter_worst': '158.8', 'area_worst': '1956', 'smoothness_worst': '0.1238', 'compactness_worst': '0.1866', 'concavity_worst': '0.2416', 'concave points_worst': '0.186', 'symmetry_worst': '0.275', 'fractal_dimension_worst': '0.08902'}
{'id': '84300903', 'diagnosis': 'M', 'radius_mean': '19.69', 'texture_mean': '21.25', 'perimeter_mean': '130', 'area_mean': '1203', 'smoothness_mean': '0.1096', 'compactness_mean': '0.1599', 'concavity_mean': '0.1974', 'concave points_mean': '0.1279', 'symmetry_mean': '0.2069', 'fractal_dimension_mean': '0.05999', 'radius_se': '0.7456', 'texture_se': '0.7869', 'perimeter_se': '4.585', 'area_se': '94.03', 'smoothness_se': '0.00615', 'compactness_se': '0.04006', 'concavity_se': '0.03832', 'concave points_se': '0.02058', 'symmetry_se': '0.0225', 'fractal_dimension_se': '0.004571', 'radius_worst': '23.57', 'texture_worst': '25.53', 'perimeter_worst': '152.5', 'area_worst': '1709', 'smoothness_worst': '0.1444', 'compactness_worst': '0.4245', 'concavity_worst': '0.4504', 'concave points_worst': '0.243', 'symmetry_worst': '0.3613', 'fractal_dimension_worst': '0.08758'}
{'id': '84348301', 'diagnosis': 'M', 'radius_mean': '11.42', 'texture_mean': '20.38', 'perimeter_mean': '77.58', 'area_mean': '386.1', 'smoothness_mean': '0.1425', 'compactness_mean': '0.2839', 'concavity_mean': '0.2414', 'concave points_mean': '0.1052', 'symmetry_mean': '0.2597', 'fractal_dimension_mean': '0.09744', 'radius_se': '0.4956', 'texture_se': '1.156', 'perimeter_se': '3.445', 'area_se': '27.23', 'smoothness_se': '0.00911', 'compactness_se': '0.07458', 'concavity_se': '0.05661', 'concave points_se': '0.01867', 'symmetry_se': '0.05963', 'fractal_dimension_se': '0.009208', 'radius_worst': '14.91', 'texture_worst': '26.5', 'perimeter_worst': '98.87', 'area_worst': '567.7', 'smoothness_worst': '0.2098', 'compactness_worst': '0.8663', 'concavity_worst': '0.6869', 'concave points_worst': '0.2575', 'symmetry_worst': '0.6638', 'fractal_dimension_worst': '0.173'}
{'id': '84358402', 'diagnosis': 'M', 'radius_mean': '20.29', 'texture_mean': '14.34', 'perimeter_mean': '135.1', 'area_mean': '1297', 'smoothness_mean': '0.1003', 'compactness_mean': '0.1328', 'concavity_mean': '0.198', 'concave points_mean': '0.1043', 'symmetry_mean': '0.1809', 'fractal_dimension_mean': '0.05883', 'radius_se': '0.7572', 'texture_se': '0.7813', 'perimeter_se': '5.438', 'area_se': '94.44', 'smoothness_se': '0.01149', 'compactness_se': '0.02461', 'concavity_se': '0.05688', 'concave points_se': '0.01885', 'symmetry_se': '0.01756', 'fractal_dimension_se': '0.005115', 'radius_worst': '22.54', 'texture_worst': '16.67', 'perimeter_worst': '152.2', 'area_worst': '1575', 'smoothness_worst': '0.1374', 'compactness_worst': '0.205', 'concavity_worst': '0.4', 'concave points_worst': '0.1625', 'symmetry_worst': '0.2364', 'fractal_dimension_worst': '0.07678'}
{'id': '843786', 'diagnosis': 'M', 'radius_mean': '12.45', 'texture_mean': '15.7', 'perimeter_mean': '82.57', 'area_mean': '477.1', 'smoothness_mean': '0.1278', 'compactness_mean': '0.17', 'concavity_mean': '0.1578', 'concave points_mean': '0.08089', 'symmetry_mean': '0.2087', 'fractal_dimension_mean': '0.07613', 'radius_se': '0.3345', 'texture_se': '0.8902', 'perimeter_se': '2.217', 'area_se': '27.19', 'smoothness_se': '0.00751', 'compactness_se': '0.03345', 'concavity_se': '0.03672', 'concave points_se': '0.01137', 'symmetry_se': '0.02165', 'fractal_dimension_se': '0.005082', 'radius_worst': '15.47', 'texture_worst': '23.75', 'perimeter_worst': '103.4', 'area_worst': '741.6', 'smoothness_worst': '0.1791', 'compactness_worst': '0.5249', 'concavity_worst': '0.5355', 'concave points_worst': '0.1741', 'symmetry_worst': '0.3985', 'fractal_dimension_worst': '0.1244'}
{'id': '844359', 'diagnosis': 'M', 'radius_mean': '18.25', 'texture_mean': '19.98', 'perimeter_mean': '119.6', 'area_mean': '1040', 'smoothness_mean': '0.09463', 'compactness_mean': '0.109', 'concavity_mean': '0.1127', 'concave points_mean': '0.074', 'symmetry_mean': '0.1794', 'fractal_dimension_mean': '0.05742', 'radius_se': '0.4467', 'texture_se': '0.7732', 'perimeter_se': '3.18', 'area_se': '53.91', 'smoothness_se': '0.004314', 'compactness_se': '0.01382', 'concavity_se': '0.02254', 'concave points_se': '0.01039', 'symmetry_se': '0.01369', 'fractal_dimension_se': '0.002179', 'radius_worst': '22.88', 'texture_worst': '27.66', 'perimeter_worst': '153.2', 'area_worst': '1606', 'smoothness_worst': '0.1442', 'compactness_worst': '0.2576', 'concavity_worst': '0.3784', 'concave points_worst': '0.1932', 'symmetry_worst': '0.3063', 'fractal_dimension_worst': '0.08368'}
{'id': '84458202', 'diagnosis': 'M', 'radius_mean': '13.71', 'texture_mean': '20.83', 'perimeter_mean': '90.2', 'area_mean': '577.9', 'smoothness_mean': '0.1189', 'compactness_mean': '0.1645', 'concavity_mean': '0.09366', 'concave points_mean': '0.05985', 'symmetry_mean': '0.2196', 'fractal_dimension_mean': '0.07451', 'radius_se': '0.5835', 'texture_se': '1.377', 'perimeter_se': '3.856', 'area_se': '50.96', 'smoothness_se': '0.008805', 'compactness_se': '0.03029', 'concavity_se': '0.02488', 'concave points_se': '0.01448', 'symmetry_se': '0.01486', 'fractal_dimension_se': '0.005412', 'radius_worst': '17.06', 'texture_worst': '28.14', 'perimeter_worst': '110.6', 'area_worst': '897', 'smoothness_worst': '0.1654', 'compactness_worst': '0.3682', 'concavity_worst': '0.2678', 'concave points_worst': '0.1556', 'symmetry_worst': '0.3196', 'fractal_dimension_worst': '0.1151'}
{'id': '844981', 'diagnosis': 'M', 'radius_mean': '13', 'texture_mean': '21.82', 'perimeter_mean': '87.5', 'area_mean': '519.8', 'smoothness_mean': '0.1273', 'compactness_mean': '0.1932', 'concavity_mean': '0.1859', 'concave points_mean': '0.09353', 'symmetry_mean': '0.235', 'fractal_dimension_mean': '0.07389', 'radius_se': '0.3063', 'texture_se': '1.002', 'perimeter_se': '2.406', 'area_se': '24.32', 'smoothness_se': '0.005731', 'compactness_se': '0.03502', 'concavity_se': '0.03553', 'concave points_se': '0.01226', 'symmetry_se': '0.02143', 'fractal_dimension_se': '0.003749', 'radius_worst': '15.49', 'texture_worst': '30.73', 'perimeter_worst': '106.2', 'area_worst': '739.3', 'smoothness_worst': '0.1703', 'compactness_worst': '0.5401', 'concavity_worst': '0.539', 'concave points_worst': '0.206', 'symmetry_worst': '0.4378', 'fractal_dimension_worst': '0.1072'}
{'id': '84501001', 'diagnosis': 'M', 'radius_mean': '12.46', 'texture_mean': '24.04', 'perimeter_mean': '83.97', 'area_mean': '475.9', 'smoothness_mean': '0.1186', 'compactness_mean': '0.2396', 'concavity_mean': '0.2273', 'concave points_mean': '0.08543', 'symmetry_mean': '0.203', 'fractal_dimension_mean': '0.08243', 'radius_se': '0.2976', 'texture_se': '1.599', 'perimeter_se': '2.039', 'area_se': '23.94', 'smoothness_se': '0.007149', 'compactness_se': '0.07217', 'concavity_se': '0.07743', 'concave points_se': '0.01432', 'symmetry_se': '0.01789', 'fractal_dimension_se': '0.01008', 'radius_worst': '15.09', 'texture_worst': '40.68', 'perimeter_worst': '97.65', 'area_worst': '711.4', 'smoothness_worst': '0.1853', 'compactness_worst': '1.058', 'concavity_worst': '1.105', 'concave points_worst': '0.221', 'symmetry_worst': '0.4366', 'fractal_dimension_worst': '0.2075'}
{'id': '845636', 'diagnosis': 'M', 'radius_mean': '16.02', 'texture_mean': '23.24', 'perimeter_mean': '102.7', 'area_mean': '797.8', 'smoothness_mean': '0.08206', 'compactness_mean': '0.06669', 'concavity_mean': '0.03299', 'concave points_mean': '0.03323', 'symmetry_mean': '0.1528', 'fractal_dimension_mean': '0.05697', 'radius_se': '0.3795', 'texture_se': '1.187', 'perimeter_se': '2.466', 'area_se': '40.51', 'smoothness_se': '0.004029', 'compactness_se': '0.009269', 'concavity_se': '0.01101', 'concave points_se': '0.007591', 'symmetry_se': '0.0146', 'fractal_dimension_se': '0.003042', 'radius_worst': '19.19', 'texture_worst': '33.88', 'perimeter_worst': '123.8', 'area_worst': '1150', 'smoothness_worst': '0.1181', 'compactness_worst': '0.1551', 'concavity_worst': '0.1459', 'concave points_worst': '0.09975', 'symmetry_worst': '0.2948', 'fractal_dimension_worst': '0.08452'}
{'id': '84610002', 'diagnosis': 'M', 'radius_mean': '15.78', 'texture_mean': '17.89', 'perimeter_mean': '103.6', 'area_mean': '781', 'smoothness_mean': '0.0971', 'compactness_mean': '0.1292', 'concavity_mean': '0.09954', 'concave points_mean': '0.06606', 'symmetry_mean': '0.1842', 'fractal_dimension_mean': '0.06082', 'radius_se': '0.5058', 'texture_se': '0.9849', 'perimeter_se': '3.564', 'area_se': '54.16', 'smoothness_se': '0.005771', 'compactness_se': '0.04061', 'concavity_se': '0.02791', 'concave points_se': '0.01282', 'symmetry_se': '0.02008', 'fractal_dimension_se': '0.004144', 'radius_worst': '20.42', 'texture_worst': '27.28', 'perimeter_worst': '136.5', 'area_worst': '1299', 'smoothness_worst': '0.1396', 'compactness_worst': '0.5609', 'concavity_worst': '0.3965', 'concave points_worst': '0.181', 'symmetry_worst': '0.3792', 'fractal_dimension_worst': '0.1048'}
{'id': '846226', 'diagnosis': 'M', 'radius_mean': '19.17', 'texture_mean': '24.8', 'perimeter_mean': '132.4', 'area_mean': '1123', 'smoothness_mean': '0.0974', 'compactness_mean': '0.2458', 'concavity_mean': '0.2065', 'concave points_mean': '0.1118', 'symmetry_mean': '0.2397', 'fractal_dimension_mean': '0.078', 'radius_se': '0.9555', 'texture_se': '3.568', 'perimeter_se': '11.07', 'area_se': '116.2', 'smoothness_se': '0.003139', 'compactness_se': '0.08297', 'concavity_se': '0.0889', 'concave points_se': '0.0409', 'symmetry_se': '0.04484', 'fractal_dimension_se': '0.01284', 'radius_worst': '20.96', 'texture_worst': '29.94', 'perimeter_worst': '151.7', 'area_worst': '1332', 'smoothness_worst': '0.1037', 'compactness_worst': '0.3903', 'concavity_worst': '0.3639', 'concave points_worst': '0.1767', 'symmetry_worst': '0.3176', 'fractal_dimension_worst': '0.1023'}
{'id': '846381', 'diagnosis': 'M', 'radius_mean': '15.85', 'texture_mean': '23.95', 'perimeter_mean': '103.7', 'area_mean': '782.7', 'smoothness_mean': '0.08401', 'compactness_mean': '0.1002', 'concavity_mean': '0.09938', 'concave points_mean': '0.05364', 'symmetry_mean': '0.1847', 'fractal_dimension_mean': '0.05338', 'radius_se': '0.4033', 'texture_se': '1.078', 'perimeter_se': '2.903', 'area_se': '36.58', 'smoothness_se': '0.009769', 'compactness_se': '0.03126', 'concavity_se': '0.05051', 'concave points_se': '0.01992', 'symmetry_se': '0.02981', 'fractal_dimension_se': '0.003002', 'radius_worst': '16.84', 'texture_worst': '27.66', 'perimeter_worst': '112', 'area_worst': '876.5', 'smoothness_worst': '0.1131', 'compactness_worst': '0.1924', 'concavity_worst': '0.2322', 'concave points_worst': '0.1119', 'symmetry_worst': '0.2809', 'fractal_dimension_worst': '0.06287'}
{'id': '84667401', 'diagnosis': 'M', 'radius_mean': '13.73', 'texture_mean': '22.61', 'perimeter_mean': '93.6', 'area_mean': '578.3', 'smoothness_mean': '0.1131', 'compactness_mean': '0.2293', 'concavity_mean': '0.2128', 'concave points_mean': '0.08025', 'symmetry_mean': '0.2069', 'fractal_dimension_mean': '0.07682', 'radius_se': '0.2121', 'texture_se': '1.169', 'perimeter_se': '2.061', 'area_se': '19.21', 'smoothness_se': '0.006429', 'compactness_se': '0.05936', 'concavity_se': '0.05501', 'concave points_se': '0.01628', 'symmetry_se': '0.01961', 'fractal_dimension_se': '0.008093', 'radius_worst': '15.03', 'texture_worst': '32.01', 'perimeter_worst': '108.8', 'area_worst': '697.7', 'smoothness_worst': '0.1651', 'compactness_worst': '0.7725', 'concavity_worst': '0.6943', 'concave points_worst': '0.2208', 'symmetry_worst': '0.3596', 'fractal_dimension_worst': '0.1431'}
{'id': '84799002', 'diagnosis': 'M', 'radius_mean': '14.54', 'texture_mean': '27.54', 'perimeter_mean': '96.73', 'area_mean': '658.8', 'smoothness_mean': '0.1139', 'compactness_mean': '0.1595', 'concavity_mean': '0.1639', 'concave points_mean': '0.07364', 'symmetry_mean': '0.2303', 'fractal_dimension_mean': '0.07077', 'radius_se': '0.37', 'texture_se': '1.033', 'perimeter_se': '2.879', 'area_se': '32.55', 'smoothness_se': '0.005607', 'compactness_se': '0.0424', 'concavity_se': '0.04741', 'concave points_se': '0.0109', 'symmetry_se': '0.01857', 'fractal_dimension_se': '0.005466', 'radius_worst': '17.46', 'texture_worst': '37.13', 'perimeter_worst': '124.1', 'area_worst': '943.2', 'smoothness_worst': '0.1678', 'compactness_worst': '0.6577', 'concavity_worst': '0.7026', 'concave points_worst': '0.1712', 'symmetry_worst': '0.4218', 'fractal_dimension_worst': '0.1341'}
{'id': '848406', 'diagnosis': 'M', 'radius_mean': '14.68', 'texture_mean': '20.13', 'perimeter_mean': '94.74', 'area_mean': '684.5', 'smoothness_mean': '0.09867', 'compactness_mean': '0.072', 'concavity_mean': '0.07395', 'concave points_mean': '0.05259', 'symmetry_mean': '0.1586', 'fractal_dimension_mean': '0.05922', 'radius_se': '0.4727', 'texture_se': '1.24', 'perimeter_se': '3.195', 'area_se': '45.4', 'smoothness_se': '0.005718', 'compactness_se': '0.01162', 'concavity_se': '0.01998', 'concave points_se': '0.01109', 'symmetry_se': '0.0141', 'fractal_dimension_se': '0.002085', 'radius_worst': '19.07', 'texture_worst': '30.88', 'perimeter_worst': '123.4', 'area_worst': '1138', 'smoothness_worst': '0.1464', 'compactness_worst': '0.1871', 'concavity_worst': '0.2914', 'concave points_worst': '0.1609', 'symmetry_worst': '0.3029', 'fractal_dimension_worst': '0.08216'}
{'id': '84862001', 'diagnosis': 'M', 'radius_mean': '16.13', 'texture_mean': '20.68', 'perimeter_mean': '108.1', 'area_mean': '798.8', 'smoothness_mean': '0.117', 'compactness_mean': '0.2022', 'concavity_mean': '0.1722', 'concave points_mean': '0.1028', 'symmetry_mean': '0.2164', 'fractal_dimension_mean': '0.07356', 'radius_se': '0.5692', 'texture_se': '1.073', 'perimeter_se': '3.854', 'area_se': '54.18', 'smoothness_se': '0.007026', 'compactness_se': '0.02501', 'concavity_se': '0.03188', 'concave points_se': '0.01297', 'symmetry_se': '0.01689', 'fractal_dimension_se': '0.004142', 'radius_worst': '20.96', 'texture_worst': '31.48', 'perimeter_worst': '136.8', 'area_worst': '1315', 'smoothness_worst': '0.1789', 'compactness_worst': '0.4233', 'concavity_worst': '0.4784', 'concave points_worst': '0.2073', 'symmetry_worst': '0.3706', 'fractal_dimension_worst': '0.1142'}
{'id': '849014', 'diagnosis': 'M', 'radius_mean': '19.81', 'texture_mean': '22.15', 'perimeter_mean': '130', 'area_mean': '1260', 'smoothness_mean': '0.09831', 'compactness_mean': '0.1027', 'concavity_mean': '0.1479', 'concave points_mean': '0.09498', 'symmetry_mean': '0.1582', 'fractal_dimension_mean': '0.05395', 'radius_se': '0.7582', 'texture_se': '1.017', 'perimeter_se': '5.865', 'area_se': '112.4', 'smoothness_se': '0.006494', 'compactness_se': '0.01893', 'concavity_se': '0.03391', 'concave points_se': '0.01521', 'symmetry_se': '0.01356', 'fractal_dimension_se': '0.001997', 'radius_worst': '27.32', 'texture_worst': '30.88', 'perimeter_worst': '186.8', 'area_worst': '2398', 'smoothness_worst': '0.1512', 'compactness_worst': '0.315', 'concavity_worst': '0.5372', 'concave points_worst': '0.2388', 'symmetry_worst': '0.2768', 'fractal_dimension_worst': '0.07615'}
{'id': '8510426', 'diagnosis': 'B', 'radius_mean': '13.54', 'texture_mean': '14.36', 'perimeter_mean': '87.46', 'area_mean': '566.3', 'smoothness_mean': '0.09779', 'compactness_mean': '0.08129', 'concavity_mean': '0.06664', 'concave points_mean': '0.04781', 'symmetry_mean': '0.1885', 'fractal_dimension_mean': '0.05766', 'radius_se': '0.2699', 'texture_se': '0.7886', 'perimeter_se': '2.058', 'area_se': '23.56', 'smoothness_se': '0.008462', 'compactness_se': '0.0146', 'concavity_se': '0.02387', 'concave points_se': '0.01315', 'symmetry_se': '0.0198', 'fractal_dimension_se': '0.0023', 'radius_worst': '15.11', 'texture_worst': '19.26', 'perimeter_worst': '99.7', 'area_worst': '711.2', 'smoothness_worst': '0.144', 'compactness_worst': '0.1773', 'concavity_worst': '0.239', 'concave points_worst': '0.1288', 'symmetry_worst': '0.2977', 'fractal_dimension_worst': '0.07259'}
{'id': '8510653', 'diagnosis': 'B', 'radius_mean': '13.08', 'texture_mean': '15.71', 'perimeter_mean': '85.63', 'area_mean': '520', 'smoothness_mean': '0.1075', 'compactness_mean': '0.127', 'concavity_mean': '0.04568', 'concave points_mean': '0.0311', 'symmetry_mean': '0.1967', 'fractal_dimension_mean': '0.06811', 'radius_se': '0.1852', 'texture_se': '0.7477', 'perimeter_se': '1.383', 'area_se': '14.67', 'smoothness_se': '0.004097', 'compactness_se': '0.01898', 'concavity_se': '0.01698', 'concave points_se': '0.00649', 'symmetry_se': '0.01678', 'fractal_dimension_se': '0.002425', 'radius_worst': '14.5', 'texture_worst': '20.49', 'perimeter_worst': '96.09', 'area_worst': '630.5', 'smoothness_worst': '0.1312', 'compactness_worst': '0.2776', 'concavity_worst': '0.189', 'concave points_worst': '0.07283', 'symmetry_worst': '0.3184', 'fractal_dimension_worst': '0.08183'}
{'id': '8510824', 'diagnosis': 'B', 'radius_mean': '9.504', 'texture_mean': '12.44', 'perimeter_mean': '60.34', 'area_mean': '273.9', 'smoothness_mean': '0.1024', 'compactness_mean': '0.06492', 'concavity_mean': '0.02956', 'concave points_mean': '0.02076', 'symmetry_mean': '0.1815', 'fractal_dimension_mean': '0.06905', 'radius_se': '0.2773', 'texture_se': '0.9768', 'perimeter_se': '1.909', 'area_se': '15.7', 'smoothness_se': '0.009606', 'compactness_se': '0.01432', 'concavity_se': '0.01985', 'concave points_se': '0.01421', 'symmetry_se': '0.02027', 'fractal_dimension_se': '0.002968', 'radius_worst': '10.23', 'texture_worst': '15.66', 'perimeter_worst': '65.13', 'area_worst': '314.9', 'smoothness_worst': '0.1324', 'compactness_worst': '0.1148', 'concavity_worst': '0.08867', 'concave points_worst': '0.06227', 'symmetry_worst': '0.245', 'fractal_dimension_worst': '0.07773'}
{'id': '8511133', 'diagnosis': 'M', 'radius_mean': '15.34', 'texture_mean': '14.26', 'perimeter_mean': '102.5', 'area_mean': '704.4', 'smoothness_mean': '0.1073', 'compactness_mean': '0.2135', 'concavity_mean': '0.2077', 'concave points_mean': '0.09756', 'symmetry_mean': '0.2521', 'fractal_dimension_mean': '0.07032', 'radius_se': '0.4388', 'texture_se': '0.7096', 'perimeter_se': '3.384', 'area_se': '44.91', 'smoothness_se': '0.006789', 'compactness_se': '0.05328', 'concavity_se': '0.06446', 'concave points_se': '0.02252', 'symmetry_se': '0.03672', 'fractal_dimension_se': '0.004394', 'radius_worst': '18.07', 'texture_worst': '19.08', 'perimeter_worst': '125.1', 'area_worst': '980.9', 'smoothness_worst': '0.139', 'compactness_worst': '0.5954', 'concavity_worst': '0.6305', 'concave points_worst': '0.2393', 'symmetry_worst': '0.4667', 'fractal_dimension_worst': '0.09946'}
{'id': '851509', 'diagnosis': 'M', 'radius_mean': '21.16', 'texture_mean': '23.04', 'perimeter_mean': '137.2', 'area_mean': '1404', 'smoothness_mean': '0.09428', 'compactness_mean': '0.1022', 'concavity_mean': '0.1097', 'concave points_mean': '0.08632', 'symmetry_mean': '0.1769', 'fractal_dimension_mean': '0.05278', 'radius_se': '0.6917', 'texture_se': '1.127', 'perimeter_se': '4.303', 'area_se': '93.99', 'smoothness_se': '0.004728', 'compactness_se': '0.01259', 'concavity_se': '0.01715', 'concave points_se': '0.01038', 'symmetry_se': '0.01083', 'fractal_dimension_se': '0.001987', 'radius_worst': '29.17', 'texture_worst': '35.59', 'perimeter_worst': '188', 'area_worst': '2615', 'smoothness_worst': '0.1401', 'compactness_worst': '0.26', 'concavity_worst': '0.3155', 'concave points_worst': '0.2009', 'symmetry_worst': '0.2822', 'fractal_dimension_worst': '0.07526'}
{'id': '852552', 'diagnosis': 'M', 'radius_mean': '16.65', 'texture_mean': '21.38', 'perimeter_mean': '110', 'area_mean': '904.6', 'smoothness_mean': '0.1121', 'compactness_mean': '0.1457', 'concavity_mean': '0.1525', 'concave points_mean': '0.0917', 'symmetry_mean': '0.1995', 'fractal_dimension_mean': '0.0633', 'radius_se': '0.8068', 'texture_se': '0.9017', 'perimeter_se': '5.455', 'area_se': '102.6', 'smoothness_se': '0.006048', 'compactness_se': '0.01882', 'concavity_se': '0.02741', 'concave points_se': '0.0113', 'symmetry_se': '0.01468', 'fractal_dimension_se': '0.002801', 'radius_worst': '26.46', 'texture_worst': '31.56', 'perimeter_worst': '177', 'area_worst': '2215', 'smoothness_worst': '0.1805', 'compactness_worst': '0.3578', 'concavity_worst': '0.4695', 'concave points_worst': '0.2095', 'symmetry_worst': '0.3613', 'fractal_dimension_worst': '0.09564'}
{'id': '852631', 'diagnosis': 'M', 'radius_mean': '17.14', 'texture_mean': '16.4', 'perimeter_mean': '116', 'area_mean': '912.7', 'smoothness_mean': '0.1186', 'compactness_mean': '0.2276', 'concavity_mean': '0.2229', 'concave points_mean': '0.1401', 'symmetry_mean': '0.304', 'fractal_dimension_mean': '0.07413', 'radius_se': '1.046', 'texture_se': '0.976', 'perimeter_se': '7.276', 'area_se': '111.4', 'smoothness_se': '0.008029', 'compactness_se': '0.03799', 'concavity_se': '0.03732', 'concave points_se': '0.02397', 'symmetry_se': '0.02308', 'fractal_dimension_se': '0.007444', 'radius_worst': '22.25', 'texture_worst': '21.4', 'perimeter_worst': '152.4', 'area_worst': '1461', 'smoothness_worst': '0.1545', 'compactness_worst': '0.3949', 'concavity_worst': '0.3853', 'concave points_worst': '0.255', 'symmetry_worst': '0.4066', 'fractal_dimension_worst': '0.1059'}
{'id': '852763', 'diagnosis': 'M', 'radius_mean': '14.58', 'texture_mean': '21.53', 'perimeter_mean': '97.41', 'area_mean': '644.8', 'smoothness_mean': '0.1054', 'compactness_mean': '0.1868', 'concavity_mean': '0.1425', 'concave points_mean': '0.08783', 'symmetry_mean': '0.2252', 'fractal_dimension_mean': '0.06924', 'radius_se': '0.2545', 'texture_se': '0.9832', 'perimeter_se': '2.11', 'area_se': '21.05', 'smoothness_se': '0.004452', 'compactness_se': '0.03055', 'concavity_se': '0.02681', 'concave points_se': '0.01352', 'symmetry_se': '0.01454', 'fractal_dimension_se': '0.003711', 'radius_worst': '17.62', 'texture_worst': '33.21', 'perimeter_worst': '122.4', 'area_worst': '896.9', 'smoothness_worst': '0.1525', 'compactness_worst': '0.6643', 'concavity_worst': '0.5539', 'concave points_worst': '0.2701', 'symmetry_worst': '0.4264', 'fractal_dimension_worst': '0.1275'}
{'id': '852781', 'diagnosis': 'M', 'radius_mean': '18.61', 'texture_mean': '20.25', 'perimeter_mean': '122.1', 'area_mean': '1094', 'smoothness_mean': '0.0944', 'compactness_mean': '0.1066', 'concavity_mean': '0.149', 'concave points_mean': '0.07731', 'symmetry_mean': '0.1697', 'fractal_dimension_mean': '0.05699', 'radius_se': '0.8529', 'texture_se': '1.849', 'perimeter_se': '5.632', 'area_se': '93.54', 'smoothness_se': '0.01075', 'compactness_se': '0.02722', 'concavity_se': '0.05081', 'concave points_se': '0.01911', 'symmetry_se': '0.02293', 'fractal_dimension_se': '0.004217', 'radius_worst': '21.31', 'texture_worst': '27.26', 'perimeter_worst': '139.9', 'area_worst': '1403', 'smoothness_worst': '0.1338', 'compactness_worst': '0.2117', 'concavity_worst': '0.3446', 'concave points_worst': '0.149', 'symmetry_worst': '0.2341', 'fractal_dimension_worst': '0.07421'}
{'id': '852973', 'diagnosis': 'M', 'radius_mean': '15.3', 'texture_mean': '25.27', 'perimeter_mean': '102.4', 'area_mean': '732.4', 'smoothness_mean': '0.1082', 'compactness_mean': '0.1697', 'concavity_mean': '0.1683', 'concave points_mean': '0.08751', 'symmetry_mean': '0.1926', 'fractal_dimension_mean': '0.0654', 'radius_se': '0.439', 'texture_se': '1.012', 'perimeter_se': '3.498', 'area_se': '43.5', 'smoothness_se': '0.005233', 'compactness_se': '0.03057', 'concavity_se': '0.03576', 'concave points_se': '0.01083', 'symmetry_se': '0.01768', 'fractal_dimension_se': '0.002967', 'radius_worst': '20.27', 'texture_worst': '36.71', 'perimeter_worst': '149.3', 'area_worst': '1269', 'smoothness_worst': '0.1641', 'compactness_worst': '0.611', 'concavity_worst': '0.6335', 'concave points_worst': '0.2024', 'symmetry_worst': '0.4027', 'fractal_dimension_worst': '0.09876'}
{'id': '853201', 'diagnosis': 'M', 'radius_mean': '17.57', 'texture_mean': '15.05', 'perimeter_mean': '115', 'area_mean': '955.1', 'smoothness_mean': '0.09847', 'compactness_mean': '0.1157', 'concavity_mean': '0.09875', 'concave points_mean': '0.07953', 'symmetry_mean': '0.1739', 'fractal_dimension_mean': '0.06149', 'radius_se': '0.6003', 'texture_se': '0.8225', 'perimeter_se': '4.655', 'area_se': '61.1', 'smoothness_se': '0.005627', 'compactness_se': '0.03033', 'concavity_se': '0.03407', 'concave points_se': '0.01354', 'symmetry_se': '0.01925', 'fractal_dimension_se': '0.003742', 'radius_worst': '20.01', 'texture_worst': '19.52', 'perimeter_worst': '134.9', 'area_worst': '1227', 'smoothness_worst': '0.1255', 'compactness_worst': '0.2812', 'concavity_worst': '0.2489', 'concave points_worst': '0.1456', 'symmetry_worst': '0.2756', 'fractal_dimension_worst': '0.07919'}
{'id': '853401', 'diagnosis': 'M', 'radius_mean': '18.63', 'texture_mean': '25.11', 'perimeter_mean': '124.8', 'area_mean': '1088', 'smoothness_mean': '0.1064', 'compactness_mean': '0.1887', 'concavity_mean': '0.2319', 'concave points_mean': '0.1244', 'symmetry_mean': '0.2183', 'fractal_dimension_mean': '0.06197', 'radius_se': '0.8307', 'texture_se': '1.466', 'perimeter_se': '5.574', 'area_se': '105', 'smoothness_se': '0.006248', 'compactness_se': '0.03374', 'concavity_se': '0.05196', 'concave points_se': '0.01158', 'symmetry_se': '0.02007', 'fractal_dimension_se': '0.00456', 'radius_worst': '23.15', 'texture_worst': '34.01', 'perimeter_worst': '160.5', 'area_worst': '1670', 'smoothness_worst': '0.1491', 'compactness_worst': '0.4257', 'concavity_worst': '0.6133', 'concave points_worst': '0.1848', 'symmetry_worst': '0.3444', 'fractal_dimension_worst': '0.09782'}
{'id': '853612', 'diagnosis': 'M', 'radius_mean': '11.84', 'texture_mean': '18.7', 'perimeter_mean': '77.93', 'area_mean': '440.6', 'smoothness_mean': '0.1109', 'compactness_mean': '0.1516', 'concavity_mean': '0.1218', 'concave points_mean': '0.05182', 'symmetry_mean': '0.2301', 'fractal_dimension_mean': '0.07799', 'radius_se': '0.4825', 'texture_se': '1.03', 'perimeter_se': '3.475', 'area_se': '41', 'smoothness_se': '0.005551', 'compactness_se': '0.03414', 'concavity_se': '0.04205', 'concave points_se': '0.01044', 'symmetry_se': '0.02273', 'fractal_dimension_se': '0.005667', 'radius_worst': '16.82', 'texture_worst': '28.12', 'perimeter_worst': '119.4', 'area_worst': '888.7', 'smoothness_worst': '0.1637', 'compactness_worst': '0.5775', 'concavity_worst': '0.6956', 'concave points_worst': '0.1546', 'symmetry_worst': '0.4761', 'fractal_dimension_worst': '0.1402'}
{'id': '85382601', 'diagnosis': 'M', 'radius_mean': '17.02', 'texture_mean': '23.98', 'perimeter_mean': '112.8', 'area_mean': '899.3', 'smoothness_mean': '0.1197', 'compactness_mean': '0.1496', 'concavity_mean': '0.2417', 'concave points_mean': '0.1203', 'symmetry_mean': '0.2248', 'fractal_dimension_mean': '0.06382', 'radius_se': '0.6009', 'texture_se': '1.398', 'perimeter_se': '3.999', 'area_se': '67.78', 'smoothness_se': '0.008268', 'compactness_se': '0.03082', 'concavity_se': '0.05042', 'concave points_se': '0.01112', 'symmetry_se': '0.02102', 'fractal_dimension_se': '0.003854', 'radius_worst': '20.88', 'texture_worst': '32.09', 'perimeter_worst': '136.1', 'area_worst': '1344', 'smoothness_worst': '0.1634', 'compactness_worst': '0.3559', 'concavity_worst': '0.5588', 'concave points_worst': '0.1847', 'symmetry_worst': '0.353', 'fractal_dimension_worst': '0.08482'}
{'id': '854002', 'diagnosis': 'M', 'radius_mean': '19.27', 'texture_mean': '26.47', 'perimeter_mean': '127.9', 'area_mean': '1162', 'smoothness_mean': '0.09401', 'compactness_mean': '0.1719', 'concavity_mean': '0.1657', 'concave points_mean': '0.07593', 'symmetry_mean': '0.1853', 'fractal_dimension_mean': '0.06261', 'radius_se': '0.5558', 'texture_se': '0.6062', 'perimeter_se': '3.528', 'area_se': '68.17', 'smoothness_se': '0.005015', 'compactness_se': '0.03318', 'concavity_se': '0.03497', 'concave points_se': '0.009643', 'symmetry_se': '0.01543', 'fractal_dimension_se': '0.003896', 'radius_worst': '24.15', 'texture_worst': '30.9', 'perimeter_worst': '161.4', 'area_worst': '1813', 'smoothness_worst': '0.1509', 'compactness_worst': '0.659', 'concavity_worst': '0.6091', 'concave points_worst': '0.1785', 'symmetry_worst': '0.3672', 'fractal_dimension_worst': '0.1123'}
{'id': '854039', 'diagnosis': 'M', 'radius_mean': '16.13', 'texture_mean': '17.88', 'perimeter_mean': '107', 'area_mean': '807.2', 'smoothness_mean': '0.104', 'compactness_mean': '0.1559', 'concavity_mean': '0.1354', 'concave points_mean': '0.07752', 'symmetry_mean': '0.1998', 'fractal_dimension_mean': '0.06515', 'radius_se': '0.334', 'texture_se': '0.6857', 'perimeter_se': '2.183', 'area_se': '35.03', 'smoothness_se': '0.004185', 'compactness_se': '0.02868', 'concavity_se': '0.02664', 'concave points_se': '0.009067', 'symmetry_se': '0.01703', 'fractal_dimension_se': '0.003817', 'radius_worst': '20.21', 'texture_worst': '27.26', 'perimeter_worst': '132.7', 'area_worst': '1261', 'smoothness_worst': '0.1446', 'compactness_worst': '0.5804', 'concavity_worst': '0.5274', 'concave points_worst': '0.1864', 'symmetry_worst': '0.427', 'fractal_dimension_worst': '0.1233'}
{'id': '854253', 'diagnosis': 'M', 'radius_mean': '16.74', 'texture_mean': '21.59', 'perimeter_mean': '110.1', 'area_mean': '869.5', 'smoothness_mean': '0.0961', 'compactness_mean': '0.1336', 'concavity_mean': '0.1348', 'concave points_mean': '0.06018', 'symmetry_mean': '0.1896', 'fractal_dimension_mean': '0.05656', 'radius_se': '0.4615', 'texture_se': '0.9197', 'perimeter_se': '3.008', 'area_se': '45.19', 'smoothness_se': '0.005776', 'compactness_se': '0.02499', 'concavity_se': '0.03695', 'concave points_se': '0.01195', 'symmetry_se': '0.02789', 'fractal_dimension_se': '0.002665', 'radius_worst': '20.01', 'texture_worst': '29.02', 'perimeter_worst': '133.5', 'area_worst': '1229', 'smoothness_worst': '0.1563', 'compactness_worst': '0.3835', 'concavity_worst': '0.5409', 'concave points_worst': '0.1813', 'symmetry_worst': '0.4863', 'fractal_dimension_worst': '0.08633'}
{'id': '854268', 'diagnosis': 'M', 'radius_mean': '14.25', 'texture_mean': '21.72', 'perimeter_mean': '93.63', 'area_mean': '633', 'smoothness_mean': '0.09823', 'compactness_mean': '0.1098', 'concavity_mean': '0.1319', 'concave points_mean': '0.05598', 'symmetry_mean': '0.1885', 'fractal_dimension_mean': '0.06125', 'radius_se': '0.286', 'texture_se': '1.019', 'perimeter_se': '2.657', 'area_se': '24.91', 'smoothness_se': '0.005878', 'compactness_se': '0.02995', 'concavity_se': '0.04815', 'concave points_se': '0.01161', 'symmetry_se': '0.02028', 'fractal_dimension_se': '0.004022', 'radius_worst': '15.89', 'texture_worst': '30.36', 'perimeter_worst': '116.2', 'area_worst': '799.6', 'smoothness_worst': '0.1446', 'compactness_worst': '0.4238', 'concavity_worst': '0.5186', 'concave points_worst': '0.1447', 'symmetry_worst': '0.3591', 'fractal_dimension_worst': '0.1014'}
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{'id': '855133', 'diagnosis': 'M', 'radius_mean': '14.99', 'texture_mean': '25.2', 'perimeter_mean': '95.54', 'area_mean': '698.8', 'smoothness_mean': '0.09387', 'compactness_mean': '0.05131', 'concavity_mean': '0.02398', 'concave points_mean': '0.02899', 'symmetry_mean': '0.1565', 'fractal_dimension_mean': '0.05504', 'radius_se': '1.214', 'texture_se': '2.188', 'perimeter_se': '8.077', 'area_se': '106', 'smoothness_se': '0.006883', 'compactness_se': '0.01094', 'concavity_se': '0.01818', 'concave points_se': '0.01917', 'symmetry_se': '0.007882', 'fractal_dimension_se': '0.001754', 'radius_worst': '14.99', 'texture_worst': '25.2', 'perimeter_worst': '95.54', 'area_worst': '698.8', 'smoothness_worst': '0.09387', 'compactness_worst': '0.05131', 'concavity_worst': '0.02398', 'concave points_worst': '0.02899', 'symmetry_worst': '0.1565', 'fractal_dimension_worst': '0.05504'}
{'id': '855138', 'diagnosis': 'M', 'radius_mean': '13.48', 'texture_mean': '20.82', 'perimeter_mean': '88.4', 'area_mean': '559.2', 'smoothness_mean': '0.1016', 'compactness_mean': '0.1255', 'concavity_mean': '0.1063', 'concave points_mean': '0.05439', 'symmetry_mean': '0.172', 'fractal_dimension_mean': '0.06419', 'radius_se': '0.213', 'texture_se': '0.5914', 'perimeter_se': '1.545', 'area_se': '18.52', 'smoothness_se': '0.005367', 'compactness_se': '0.02239', 'concavity_se': '0.03049', 'concave points_se': '0.01262', 'symmetry_se': '0.01377', 'fractal_dimension_se': '0.003187', 'radius_worst': '15.53', 'texture_worst': '26.02', 'perimeter_worst': '107.3', 'area_worst': '740.4', 'smoothness_worst': '0.161', 'compactness_worst': '0.4225', 'concavity_worst': '0.503', 'concave points_worst': '0.2258', 'symmetry_worst': '0.2807', 'fractal_dimension_worst': '0.1071'}
{'id': '855167', 'diagnosis': 'M', 'radius_mean': '13.44', 'texture_mean': '21.58', 'perimeter_mean': '86.18', 'area_mean': '563', 'smoothness_mean': '0.08162', 'compactness_mean': '0.06031', 'concavity_mean': '0.0311', 'concave points_mean': '0.02031', 'symmetry_mean': '0.1784', 'fractal_dimension_mean': '0.05587', 'radius_se': '0.2385', 'texture_se': '0.8265', 'perimeter_se': '1.572', 'area_se': '20.53', 'smoothness_se': '0.00328', 'compactness_se': '0.01102', 'concavity_se': '0.0139', 'concave points_se': '0.006881', 'symmetry_se': '0.0138', 'fractal_dimension_se': '0.001286', 'radius_worst': '15.93', 'texture_worst': '30.25', 'perimeter_worst': '102.5', 'area_worst': '787.9', 'smoothness_worst': '0.1094', 'compactness_worst': '0.2043', 'concavity_worst': '0.2085', 'concave points_worst': '0.1112', 'symmetry_worst': '0.2994', 'fractal_dimension_worst': '0.07146'}
{'id': '855563', 'diagnosis': 'M', 'radius_mean': '10.95', 'texture_mean': '21.35', 'perimeter_mean': '71.9', 'area_mean': '371.1', 'smoothness_mean': '0.1227', 'compactness_mean': '0.1218', 'concavity_mean': '0.1044', 'concave points_mean': '0.05669', 'symmetry_mean': '0.1895', 'fractal_dimension_mean': '0.0687', 'radius_se': '0.2366', 'texture_se': '1.428', 'perimeter_se': '1.822', 'area_se': '16.97', 'smoothness_se': '0.008064', 'compactness_se': '0.01764', 'concavity_se': '0.02595', 'concave points_se': '0.01037', 'symmetry_se': '0.01357', 'fractal_dimension_se': '0.00304', 'radius_worst': '12.84', 'texture_worst': '35.34', 'perimeter_worst': '87.22', 'area_worst': '514', 'smoothness_worst': '0.1909', 'compactness_worst': '0.2698', 'concavity_worst': '0.4023', 'concave points_worst': '0.1424', 'symmetry_worst': '0.2964', 'fractal_dimension_worst': '0.09606'}
{'id': '855625', 'diagnosis': 'M', 'radius_mean': '19.07', 'texture_mean': '24.81', 'perimeter_mean': '128.3', 'area_mean': '1104', 'smoothness_mean': '0.09081', 'compactness_mean': '0.219', 'concavity_mean': '0.2107', 'concave points_mean': '0.09961', 'symmetry_mean': '0.231', 'fractal_dimension_mean': '0.06343', 'radius_se': '0.9811', 'texture_se': '1.666', 'perimeter_se': '8.83', 'area_se': '104.9', 'smoothness_se': '0.006548', 'compactness_se': '0.1006', 'concavity_se': '0.09723', 'concave points_se': '0.02638', 'symmetry_se': '0.05333', 'fractal_dimension_se': '0.007646', 'radius_worst': '24.09', 'texture_worst': '33.17', 'perimeter_worst': '177.4', 'area_worst': '1651', 'smoothness_worst': '0.1247', 'compactness_worst': '0.7444', 'concavity_worst': '0.7242', 'concave points_worst': '0.2493', 'symmetry_worst': '0.467', 'fractal_dimension_worst': '0.1038'}
{'id': '856106', 'diagnosis': 'M', 'radius_mean': '13.28', 'texture_mean': '20.28', 'perimeter_mean': '87.32', 'area_mean': '545.2', 'smoothness_mean': '0.1041', 'compactness_mean': '0.1436', 'concavity_mean': '0.09847', 'concave points_mean': '0.06158', 'symmetry_mean': '0.1974', 'fractal_dimension_mean': '0.06782', 'radius_se': '0.3704', 'texture_se': '0.8249', 'perimeter_se': '2.427', 'area_se': '31.33', 'smoothness_se': '0.005072', 'compactness_se': '0.02147', 'concavity_se': '0.02185', 'concave points_se': '0.00956', 'symmetry_se': '0.01719', 'fractal_dimension_se': '0.003317', 'radius_worst': '17.38', 'texture_worst': '28', 'perimeter_worst': '113.1', 'area_worst': '907.2', 'smoothness_worst': '0.153', 'compactness_worst': '0.3724', 'concavity_worst': '0.3664', 'concave points_worst': '0.1492', 'symmetry_worst': '0.3739', 'fractal_dimension_worst': '0.1027'}
{'id': '85638502', 'diagnosis': 'M', 'radius_mean': '13.17', 'texture_mean': '21.81', 'perimeter_mean': '85.42', 'area_mean': '531.5', 'smoothness_mean': '0.09714', 'compactness_mean': '0.1047', 'concavity_mean': '0.08259', 'concave points_mean': '0.05252', 'symmetry_mean': '0.1746', 'fractal_dimension_mean': '0.06177', 'radius_se': '0.1938', 'texture_se': '0.6123', 'perimeter_se': '1.334', 'area_se': '14.49', 'smoothness_se': '0.00335', 'compactness_se': '0.01384', 'concavity_se': '0.01452', 'concave points_se': '0.006853', 'symmetry_se': '0.01113', 'fractal_dimension_se': '0.00172', 'radius_worst': '16.23', 'texture_worst': '29.89', 'perimeter_worst': '105.5', 'area_worst': '740.7', 'smoothness_worst': '0.1503', 'compactness_worst': '0.3904', 'concavity_worst': '0.3728', 'concave points_worst': '0.1607', 'symmetry_worst': '0.3693', 'fractal_dimension_worst': '0.09618'}
{'id': '857010', 'diagnosis': 'M', 'radius_mean': '18.65', 'texture_mean': '17.6', 'perimeter_mean': '123.7', 'area_mean': '1076', 'smoothness_mean': '0.1099', 'compactness_mean': '0.1686', 'concavity_mean': '0.1974', 'concave points_mean': '0.1009', 'symmetry_mean': '0.1907', 'fractal_dimension_mean': '0.06049', 'radius_se': '0.6289', 'texture_se': '0.6633', 'perimeter_se': '4.293', 'area_se': '71.56', 'smoothness_se': '0.006294', 'compactness_se': '0.03994', 'concavity_se': '0.05554', 'concave points_se': '0.01695', 'symmetry_se': '0.02428', 'fractal_dimension_se': '0.003535', 'radius_worst': '22.82', 'texture_worst': '21.32', 'perimeter_worst': '150.6', 'area_worst': '1567', 'smoothness_worst': '0.1679', 'compactness_worst': '0.509', 'concavity_worst': '0.7345', 'concave points_worst': '0.2378', 'symmetry_worst': '0.3799', 'fractal_dimension_worst': '0.09185'}
{'id': '85713702', 'diagnosis': 'B', 'radius_mean': '8.196', 'texture_mean': '16.84', 'perimeter_mean': '51.71', 'area_mean': '201.9', 'smoothness_mean': '0.086', 'compactness_mean': '0.05943', 'concavity_mean': '0.01588', 'concave points_mean': '0.005917', 'symmetry_mean': '0.1769', 'fractal_dimension_mean': '0.06503', 'radius_se': '0.1563', 'texture_se': '0.9567', 'perimeter_se': '1.094', 'area_se': '8.205', 'smoothness_se': '0.008968', 'compactness_se': '0.01646', 'concavity_se': '0.01588', 'concave points_se': '0.005917', 'symmetry_se': '0.02574', 'fractal_dimension_se': '0.002582', 'radius_worst': '8.964', 'texture_worst': '21.96', 'perimeter_worst': '57.26', 'area_worst': '242.2', 'smoothness_worst': '0.1297', 'compactness_worst': '0.1357', 'concavity_worst': '0.0688', 'concave points_worst': '0.02564', 'symmetry_worst': '0.3105', 'fractal_dimension_worst': '0.07409'}
{'id': '85715', 'diagnosis': 'M', 'radius_mean': '13.17', 'texture_mean': '18.66', 'perimeter_mean': '85.98', 'area_mean': '534.6', 'smoothness_mean': '0.1158', 'compactness_mean': '0.1231', 'concavity_mean': '0.1226', 'concave points_mean': '0.0734', 'symmetry_mean': '0.2128', 'fractal_dimension_mean': '0.06777', 'radius_se': '0.2871', 'texture_se': '0.8937', 'perimeter_se': '1.897', 'area_se': '24.25', 'smoothness_se': '0.006532', 'compactness_se': '0.02336', 'concavity_se': '0.02905', 'concave points_se': '0.01215', 'symmetry_se': '0.01743', 'fractal_dimension_se': '0.003643', 'radius_worst': '15.67', 'texture_worst': '27.95', 'perimeter_worst': '102.8', 'area_worst': '759.4', 'smoothness_worst': '0.1786', 'compactness_worst': '0.4166', 'concavity_worst': '0.5006', 'concave points_worst': '0.2088', 'symmetry_worst': '0.39', 'fractal_dimension_worst': '0.1179'}
{'id': '857155', 'diagnosis': 'B', 'radius_mean': '12.05', 'texture_mean': '14.63', 'perimeter_mean': '78.04', 'area_mean': '449.3', 'smoothness_mean': '0.1031', 'compactness_mean': '0.09092', 'concavity_mean': '0.06592', 'concave points_mean': '0.02749', 'symmetry_mean': '0.1675', 'fractal_dimension_mean': '0.06043', 'radius_se': '0.2636', 'texture_se': '0.7294', 'perimeter_se': '1.848', 'area_se': '19.87', 'smoothness_se': '0.005488', 'compactness_se': '0.01427', 'concavity_se': '0.02322', 'concave points_se': '0.00566', 'symmetry_se': '0.01428', 'fractal_dimension_se': '0.002422', 'radius_worst': '13.76', 'texture_worst': '20.7', 'perimeter_worst': '89.88', 'area_worst': '582.6', 'smoothness_worst': '0.1494', 'compactness_worst': '0.2156', 'concavity_worst': '0.305', 'concave points_worst': '0.06548', 'symmetry_worst': '0.2747', 'fractal_dimension_worst': '0.08301'}
{'id': '857156', 'diagnosis': 'B', 'radius_mean': '13.49', 'texture_mean': '22.3', 'perimeter_mean': '86.91', 'area_mean': '561', 'smoothness_mean': '0.08752', 'compactness_mean': '0.07698', 'concavity_mean': '0.04751', 'concave points_mean': '0.03384', 'symmetry_mean': '0.1809', 'fractal_dimension_mean': '0.05718', 'radius_se': '0.2338', 'texture_se': '1.353', 'perimeter_se': '1.735', 'area_se': '20.2', 'smoothness_se': '0.004455', 'compactness_se': '0.01382', 'concavity_se': '0.02095', 'concave points_se': '0.01184', 'symmetry_se': '0.01641', 'fractal_dimension_se': '0.001956', 'radius_worst': '15.15', 'texture_worst': '31.82', 'perimeter_worst': '99', 'area_worst': '698.8', 'smoothness_worst': '0.1162', 'compactness_worst': '0.1711', 'concavity_worst': '0.2282', 'concave points_worst': '0.1282', 'symmetry_worst': '0.2871', 'fractal_dimension_worst': '0.06917'}
{'id': '857343', 'diagnosis': 'B', 'radius_mean': '11.76', 'texture_mean': '21.6', 'perimeter_mean': '74.72', 'area_mean': '427.9', 'smoothness_mean': '0.08637', 'compactness_mean': '0.04966', 'concavity_mean': '0.01657', 'concave points_mean': '0.01115', 'symmetry_mean': '0.1495', 'fractal_dimension_mean': '0.05888', 'radius_se': '0.4062', 'texture_se': '1.21', 'perimeter_se': '2.635', 'area_se': '28.47', 'smoothness_se': '0.005857', 'compactness_se': '0.009758', 'concavity_se': '0.01168', 'concave points_se': '0.007445', 'symmetry_se': '0.02406', 'fractal_dimension_se': '0.001769', 'radius_worst': '12.98', 'texture_worst': '25.72', 'perimeter_worst': '82.98', 'area_worst': '516.5', 'smoothness_worst': '0.1085', 'compactness_worst': '0.08615', 'concavity_worst': '0.05523', 'concave points_worst': '0.03715', 'symmetry_worst': '0.2433', 'fractal_dimension_worst': '0.06563'}
{'id': '857373', 'diagnosis': 'B', 'radius_mean': '13.64', 'texture_mean': '16.34', 'perimeter_mean': '87.21', 'area_mean': '571.8', 'smoothness_mean': '0.07685', 'compactness_mean': '0.06059', 'concavity_mean': '0.01857', 'concave points_mean': '0.01723', 'symmetry_mean': '0.1353', 'fractal_dimension_mean': '0.05953', 'radius_se': '0.1872', 'texture_se': '0.9234', 'perimeter_se': '1.449', 'area_se': '14.55', 'smoothness_se': '0.004477', 'compactness_se': '0.01177', 'concavity_se': '0.01079', 'concave points_se': '0.007956', 'symmetry_se': '0.01325', 'fractal_dimension_se': '0.002551', 'radius_worst': '14.67', 'texture_worst': '23.19', 'perimeter_worst': '96.08', 'area_worst': '656.7', 'smoothness_worst': '0.1089', 'compactness_worst': '0.1582', 'concavity_worst': '0.105', 'concave points_worst': '0.08586', 'symmetry_worst': '0.2346', 'fractal_dimension_worst': '0.08025'}
{'id': '857374', 'diagnosis': 'B', 'radius_mean': '11.94', 'texture_mean': '18.24', 'perimeter_mean': '75.71', 'area_mean': '437.6', 'smoothness_mean': '0.08261', 'compactness_mean': '0.04751', 'concavity_mean': '0.01972', 'concave points_mean': '0.01349', 'symmetry_mean': '0.1868', 'fractal_dimension_mean': '0.0611', 'radius_se': '0.2273', 'texture_se': '0.6329', 'perimeter_se': '1.52', 'area_se': '17.47', 'smoothness_se': '0.00721', 'compactness_se': '0.00838', 'concavity_se': '0.01311', 'concave points_se': '0.008', 'symmetry_se': '0.01996', 'fractal_dimension_se': '0.002635', 'radius_worst': '13.1', 'texture_worst': '21.33', 'perimeter_worst': '83.67', 'area_worst': '527.2', 'smoothness_worst': '0.1144', 'compactness_worst': '0.08906', 'concavity_worst': '0.09203', 'concave points_worst': '0.06296', 'symmetry_worst': '0.2785', 'fractal_dimension_worst': '0.07408'}
{'id': '857392', 'diagnosis': 'M', 'radius_mean': '18.22', 'texture_mean': '18.7', 'perimeter_mean': '120.3', 'area_mean': '1033', 'smoothness_mean': '0.1148', 'compactness_mean': '0.1485', 'concavity_mean': '0.1772', 'concave points_mean': '0.106', 'symmetry_mean': '0.2092', 'fractal_dimension_mean': '0.0631', 'radius_se': '0.8337', 'texture_se': '1.593', 'perimeter_se': '4.877', 'area_se': '98.81', 'smoothness_se': '0.003899', 'compactness_se': '0.02961', 'concavity_se': '0.02817', 'concave points_se': '0.009222', 'symmetry_se': '0.02674', 'fractal_dimension_se': '0.005126', 'radius_worst': '20.6', 'texture_worst': '24.13', 'perimeter_worst': '135.1', 'area_worst': '1321', 'smoothness_worst': '0.128', 'compactness_worst': '0.2297', 'concavity_worst': '0.2623', 'concave points_worst': '0.1325', 'symmetry_worst': '0.3021', 'fractal_dimension_worst': '0.07987'}
{'id': '857438', 'diagnosis': 'M', 'radius_mean': '15.1', 'texture_mean': '22.02', 'perimeter_mean': '97.26', 'area_mean': '712.8', 'smoothness_mean': '0.09056', 'compactness_mean': '0.07081', 'concavity_mean': '0.05253', 'concave points_mean': '0.03334', 'symmetry_mean': '0.1616', 'fractal_dimension_mean': '0.05684', 'radius_se': '0.3105', 'texture_se': '0.8339', 'perimeter_se': '2.097', 'area_se': '29.91', 'smoothness_se': '0.004675', 'compactness_se': '0.0103', 'concavity_se': '0.01603', 'concave points_se': '0.009222', 'symmetry_se': '0.01095', 'fractal_dimension_se': '0.001629', 'radius_worst': '18.1', 'texture_worst': '31.69', 'perimeter_worst': '117.7', 'area_worst': '1030', 'smoothness_worst': '0.1389', 'compactness_worst': '0.2057', 'concavity_worst': '0.2712', 'concave points_worst': '0.153', 'symmetry_worst': '0.2675', 'fractal_dimension_worst': '0.07873'}
{'id': '85759902', 'diagnosis': 'B', 'radius_mean': '11.52', 'texture_mean': '18.75', 'perimeter_mean': '73.34', 'area_mean': '409', 'smoothness_mean': '0.09524', 'compactness_mean': '0.05473', 'concavity_mean': '0.03036', 'concave points_mean': '0.02278', 'symmetry_mean': '0.192', 'fractal_dimension_mean': '0.05907', 'radius_se': '0.3249', 'texture_se': '0.9591', 'perimeter_se': '2.183', 'area_se': '23.47', 'smoothness_se': '0.008328', 'compactness_se': '0.008722', 'concavity_se': '0.01349', 'concave points_se': '0.00867', 'symmetry_se': '0.03218', 'fractal_dimension_se': '0.002386', 'radius_worst': '12.84', 'texture_worst': '22.47', 'perimeter_worst': '81.81', 'area_worst': '506.2', 'smoothness_worst': '0.1249', 'compactness_worst': '0.0872', 'concavity_worst': '0.09076', 'concave points_worst': '0.06316', 'symmetry_worst': '0.3306', 'fractal_dimension_worst': '0.07036'}
{'id': '857637', 'diagnosis': 'M', 'radius_mean': '19.21', 'texture_mean': '18.57', 'perimeter_mean': '125.5', 'area_mean': '1152', 'smoothness_mean': '0.1053', 'compactness_mean': '0.1267', 'concavity_mean': '0.1323', 'concave points_mean': '0.08994', 'symmetry_mean': '0.1917', 'fractal_dimension_mean': '0.05961', 'radius_se': '0.7275', 'texture_se': '1.193', 'perimeter_se': '4.837', 'area_se': '102.5', 'smoothness_se': '0.006458', 'compactness_se': '0.02306', 'concavity_se': '0.02945', 'concave points_se': '0.01538', 'symmetry_se': '0.01852', 'fractal_dimension_se': '0.002608', 'radius_worst': '26.14', 'texture_worst': '28.14', 'perimeter_worst': '170.1', 'area_worst': '2145', 'smoothness_worst': '0.1624', 'compactness_worst': '0.3511', 'concavity_worst': '0.3879', 'concave points_worst': '0.2091', 'symmetry_worst': '0.3537', 'fractal_dimension_worst': '0.08294'}
{'id': '857793', 'diagnosis': 'M', 'radius_mean': '14.71', 'texture_mean': '21.59', 'perimeter_mean': '95.55', 'area_mean': '656.9', 'smoothness_mean': '0.1137', 'compactness_mean': '0.1365', 'concavity_mean': '0.1293', 'concave points_mean': '0.08123', 'symmetry_mean': '0.2027', 'fractal_dimension_mean': '0.06758', 'radius_se': '0.4226', 'texture_se': '1.15', 'perimeter_se': '2.735', 'area_se': '40.09', 'smoothness_se': '0.003659', 'compactness_se': '0.02855', 'concavity_se': '0.02572', 'concave points_se': '0.01272', 'symmetry_se': '0.01817', 'fractal_dimension_se': '0.004108', 'radius_worst': '17.87', 'texture_worst': '30.7', 'perimeter_worst': '115.7', 'area_worst': '985.5', 'smoothness_worst': '0.1368', 'compactness_worst': '0.429', 'concavity_worst': '0.3587', 'concave points_worst': '0.1834', 'symmetry_worst': '0.3698', 'fractal_dimension_worst': '0.1094'}
{'id': '857810', 'diagnosis': 'B', 'radius_mean': '13.05', 'texture_mean': '19.31', 'perimeter_mean': '82.61', 'area_mean': '527.2', 'smoothness_mean': '0.0806', 'compactness_mean': '0.03789', 'concavity_mean': '0.000692', 'concave points_mean': '0.004167', 'symmetry_mean': '0.1819', 'fractal_dimension_mean': '0.05501', 'radius_se': '0.404', 'texture_se': '1.214', 'perimeter_se': '2.595', 'area_se': '32.96', 'smoothness_se': '0.007491', 'compactness_se': '0.008593', 'concavity_se': '0.000692', 'concave points_se': '0.004167', 'symmetry_se': '0.0219', 'fractal_dimension_se': '0.00299', 'radius_worst': '14.23', 'texture_worst': '22.25', 'perimeter_worst': '90.24', 'area_worst': '624.1', 'smoothness_worst': '0.1021', 'compactness_worst': '0.06191', 'concavity_worst': '0.001845', 'concave points_worst': '0.01111', 'symmetry_worst': '0.2439', 'fractal_dimension_worst': '0.06289'}
{'id': '858477', 'diagnosis': 'B', 'radius_mean': '8.618', 'texture_mean': '11.79', 'perimeter_mean': '54.34', 'area_mean': '224.5', 'smoothness_mean': '0.09752', 'compactness_mean': '0.05272', 'concavity_mean': '0.02061', 'concave points_mean': '0.007799', 'symmetry_mean': '0.1683', 'fractal_dimension_mean': '0.07187', 'radius_se': '0.1559', 'texture_se': '0.5796', 'perimeter_se': '1.046', 'area_se': '8.322', 'smoothness_se': '0.01011', 'compactness_se': '0.01055', 'concavity_se': '0.01981', 'concave points_se': '0.005742', 'symmetry_se': '0.0209', 'fractal_dimension_se': '0.002788', 'radius_worst': '9.507', 'texture_worst': '15.4', 'perimeter_worst': '59.9', 'area_worst': '274.9', 'smoothness_worst': '0.1733', 'compactness_worst': '0.1239', 'concavity_worst': '0.1168', 'concave points_worst': '0.04419', 'symmetry_worst': '0.322', 'fractal_dimension_worst': '0.09026'}
{'id': '858970', 'diagnosis': 'B', 'radius_mean': '10.17', 'texture_mean': '14.88', 'perimeter_mean': '64.55', 'area_mean': '311.9', 'smoothness_mean': '0.1134', 'compactness_mean': '0.08061', 'concavity_mean': '0.01084', 'concave points_mean': '0.0129', 'symmetry_mean': '0.2743', 'fractal_dimension_mean': '0.0696', 'radius_se': '0.5158', 'texture_se': '1.441', 'perimeter_se': '3.312', 'area_se': '34.62', 'smoothness_se': '0.007514', 'compactness_se': '0.01099', 'concavity_se': '0.007665', 'concave points_se': '0.008193', 'symmetry_se': '0.04183', 'fractal_dimension_se': '0.005953', 'radius_worst': '11.02', 'texture_worst': '17.45', 'perimeter_worst': '69.86', 'area_worst': '368.6', 'smoothness_worst': '0.1275', 'compactness_worst': '0.09866', 'concavity_worst': '0.02168', 'concave points_worst': '0.02579', 'symmetry_worst': '0.3557', 'fractal_dimension_worst': '0.0802'}
{'id': '858981', 'diagnosis': 'B', 'radius_mean': '8.598', 'texture_mean': '20.98', 'perimeter_mean': '54.66', 'area_mean': '221.8', 'smoothness_mean': '0.1243', 'compactness_mean': '0.08963', 'concavity_mean': '0.03', 'concave points_mean': '0.009259', 'symmetry_mean': '0.1828', 'fractal_dimension_mean': '0.06757', 'radius_se': '0.3582', 'texture_se': '2.067', 'perimeter_se': '2.493', 'area_se': '18.39', 'smoothness_se': '0.01193', 'compactness_se': '0.03162', 'concavity_se': '0.03', 'concave points_se': '0.009259', 'symmetry_se': '0.03357', 'fractal_dimension_se': '0.003048', 'radius_worst': '9.565', 'texture_worst': '27.04', 'perimeter_worst': '62.06', 'area_worst': '273.9', 'smoothness_worst': '0.1639', 'compactness_worst': '0.1698', 'concavity_worst': '0.09001', 'concave points_worst': '0.02778', 'symmetry_worst': '0.2972', 'fractal_dimension_worst': '0.07712'}
{'id': '858986', 'diagnosis': 'M', 'radius_mean': '14.25', 'texture_mean': '22.15', 'perimeter_mean': '96.42', 'area_mean': '645.7', 'smoothness_mean': '0.1049', 'compactness_mean': '0.2008', 'concavity_mean': '0.2135', 'concave points_mean': '0.08653', 'symmetry_mean': '0.1949', 'fractal_dimension_mean': '0.07292', 'radius_se': '0.7036', 'texture_se': '1.268', 'perimeter_se': '5.373', 'area_se': '60.78', 'smoothness_se': '0.009407', 'compactness_se': '0.07056', 'concavity_se': '0.06899', 'concave points_se': '0.01848', 'symmetry_se': '0.017', 'fractal_dimension_se': '0.006113', 'radius_worst': '17.67', 'texture_worst': '29.51', 'perimeter_worst': '119.1', 'area_worst': '959.5', 'smoothness_worst': '0.164', 'compactness_worst': '0.6247', 'concavity_worst': '0.6922', 'concave points_worst': '0.1785', 'symmetry_worst': '0.2844', 'fractal_dimension_worst': '0.1132'}
{'id': '859196', 'diagnosis': 'B', 'radius_mean': '9.173', 'texture_mean': '13.86', 'perimeter_mean': '59.2', 'area_mean': '260.9', 'smoothness_mean': '0.07721', 'compactness_mean': '0.08751', 'concavity_mean': '0.05988', 'concave points_mean': '0.0218', 'symmetry_mean': '0.2341', 'fractal_dimension_mean': '0.06963', 'radius_se': '0.4098', 'texture_se': '2.265', 'perimeter_se': '2.608', 'area_se': '23.52', 'smoothness_se': '0.008738', 'compactness_se': '0.03938', 'concavity_se': '0.04312', 'concave points_se': '0.0156', 'symmetry_se': '0.04192', 'fractal_dimension_se': '0.005822', 'radius_worst': '10.01', 'texture_worst': '19.23', 'perimeter_worst': '65.59', 'area_worst': '310.1', 'smoothness_worst': '0.09836', 'compactness_worst': '0.1678', 'concavity_worst': '0.1397', 'concave points_worst': '0.05087', 'symmetry_worst': '0.3282', 'fractal_dimension_worst': '0.0849'}
{'id': '85922302', 'diagnosis': 'M', 'radius_mean': '12.68', 'texture_mean': '23.84', 'perimeter_mean': '82.69', 'area_mean': '499', 'smoothness_mean': '0.1122', 'compactness_mean': '0.1262', 'concavity_mean': '0.1128', 'concave points_mean': '0.06873', 'symmetry_mean': '0.1905', 'fractal_dimension_mean': '0.0659', 'radius_se': '0.4255', 'texture_se': '1.178', 'perimeter_se': '2.927', 'area_se': '36.46', 'smoothness_se': '0.007781', 'compactness_se': '0.02648', 'concavity_se': '0.02973', 'concave points_se': '0.0129', 'symmetry_se': '0.01635', 'fractal_dimension_se': '0.003601', 'radius_worst': '17.09', 'texture_worst': '33.47', 'perimeter_worst': '111.8', 'area_worst': '888.3', 'smoothness_worst': '0.1851', 'compactness_worst': '0.4061', 'concavity_worst': '0.4024', 'concave points_worst': '0.1716', 'symmetry_worst': '0.3383', 'fractal_dimension_worst': '0.1031'}
{'id': '859283', 'diagnosis': 'M', 'radius_mean': '14.78', 'texture_mean': '23.94', 'perimeter_mean': '97.4', 'area_mean': '668.3', 'smoothness_mean': '0.1172', 'compactness_mean': '0.1479', 'concavity_mean': '0.1267', 'concave points_mean': '0.09029', 'symmetry_mean': '0.1953', 'fractal_dimension_mean': '0.06654', 'radius_se': '0.3577', 'texture_se': '1.281', 'perimeter_se': '2.45', 'area_se': '35.24', 'smoothness_se': '0.006703', 'compactness_se': '0.0231', 'concavity_se': '0.02315', 'concave points_se': '0.01184', 'symmetry_se': '0.019', 'fractal_dimension_se': '0.003224', 'radius_worst': '17.31', 'texture_worst': '33.39', 'perimeter_worst': '114.6', 'area_worst': '925.1', 'smoothness_worst': '0.1648', 'compactness_worst': '0.3416', 'concavity_worst': '0.3024', 'concave points_worst': '0.1614', 'symmetry_worst': '0.3321', 'fractal_dimension_worst': '0.08911'}
{'id': '859464', 'diagnosis': 'B', 'radius_mean': '9.465', 'texture_mean': '21.01', 'perimeter_mean': '60.11', 'area_mean': '269.4', 'smoothness_mean': '0.1044', 'compactness_mean': '0.07773', 'concavity_mean': '0.02172', 'concave points_mean': '0.01504', 'symmetry_mean': '0.1717', 'fractal_dimension_mean': '0.06899', 'radius_se': '0.2351', 'texture_se': '2.011', 'perimeter_se': '1.66', 'area_se': '14.2', 'smoothness_se': '0.01052', 'compactness_se': '0.01755', 'concavity_se': '0.01714', 'concave points_se': '0.009333', 'symmetry_se': '0.02279', 'fractal_dimension_se': '0.004237', 'radius_worst': '10.41', 'texture_worst': '31.56', 'perimeter_worst': '67.03', 'area_worst': '330.7', 'smoothness_worst': '0.1548', 'compactness_worst': '0.1664', 'concavity_worst': '0.09412', 'concave points_worst': '0.06517', 'symmetry_worst': '0.2878', 'fractal_dimension_worst': '0.09211'}
{'id': '859465', 'diagnosis': 'B', 'radius_mean': '11.31', 'texture_mean': '19.04', 'perimeter_mean': '71.8', 'area_mean': '394.1', 'smoothness_mean': '0.08139', 'compactness_mean': '0.04701', 'concavity_mean': '0.03709', 'concave points_mean': '0.0223', 'symmetry_mean': '0.1516', 'fractal_dimension_mean': '0.05667', 'radius_se': '0.2727', 'texture_se': '0.9429', 'perimeter_se': '1.831', 'area_se': '18.15', 'smoothness_se': '0.009282', 'compactness_se': '0.009216', 'concavity_se': '0.02063', 'concave points_se': '0.008965', 'symmetry_se': '0.02183', 'fractal_dimension_se': '0.002146', 'radius_worst': '12.33', 'texture_worst': '23.84', 'perimeter_worst': '78', 'area_worst': '466.7', 'smoothness_worst': '0.129', 'compactness_worst': '0.09148', 'concavity_worst': '0.1444', 'concave points_worst': '0.06961', 'symmetry_worst': '0.24', 'fractal_dimension_worst': '0.06641'}
{'id': '859471', 'diagnosis': 'B', 'radius_mean': '9.029', 'texture_mean': '17.33', 'perimeter_mean': '58.79', 'area_mean': '250.5', 'smoothness_mean': '0.1066', 'compactness_mean': '0.1413', 'concavity_mean': '0.313', 'concave points_mean': '0.04375', 'symmetry_mean': '0.2111', 'fractal_dimension_mean': '0.08046', 'radius_se': '0.3274', 'texture_se': '1.194', 'perimeter_se': '1.885', 'area_se': '17.67', 'smoothness_se': '0.009549', 'compactness_se': '0.08606', 'concavity_se': '0.3038', 'concave points_se': '0.03322', 'symmetry_se': '0.04197', 'fractal_dimension_se': '0.009559', 'radius_worst': '10.31', 'texture_worst': '22.65', 'perimeter_worst': '65.5', 'area_worst': '324.7', 'smoothness_worst': '0.1482', 'compactness_worst': '0.4365', 'concavity_worst': '1.252', 'concave points_worst': '0.175', 'symmetry_worst': '0.4228', 'fractal_dimension_worst': '0.1175'}
{'id': '859487', 'diagnosis': 'B', 'radius_mean': '12.78', 'texture_mean': '16.49', 'perimeter_mean': '81.37', 'area_mean': '502.5', 'smoothness_mean': '0.09831', 'compactness_mean': '0.05234', 'concavity_mean': '0.03653', 'concave points_mean': '0.02864', 'symmetry_mean': '0.159', 'fractal_dimension_mean': '0.05653', 'radius_se': '0.2368', 'texture_se': '0.8732', 'perimeter_se': '1.471', 'area_se': '18.33', 'smoothness_se': '0.007962', 'compactness_se': '0.005612', 'concavity_se': '0.01585', 'concave points_se': '0.008662', 'symmetry_se': '0.02254', 'fractal_dimension_se': '0.001906', 'radius_worst': '13.46', 'texture_worst': '19.76', 'perimeter_worst': '85.67', 'area_worst': '554.9', 'smoothness_worst': '0.1296', 'compactness_worst': '0.07061', 'concavity_worst': '0.1039', 'concave points_worst': '0.05882', 'symmetry_worst': '0.2383', 'fractal_dimension_worst': '0.0641'}
{'id': '859575', 'diagnosis': 'M', 'radius_mean': '18.94', 'texture_mean': '21.31', 'perimeter_mean': '123.6', 'area_mean': '1130', 'smoothness_mean': '0.09009', 'compactness_mean': '0.1029', 'concavity_mean': '0.108', 'concave points_mean': '0.07951', 'symmetry_mean': '0.1582', 'fractal_dimension_mean': '0.05461', 'radius_se': '0.7888', 'texture_se': '0.7975', 'perimeter_se': '5.486', 'area_se': '96.05', 'smoothness_se': '0.004444', 'compactness_se': '0.01652', 'concavity_se': '0.02269', 'concave points_se': '0.0137', 'symmetry_se': '0.01386', 'fractal_dimension_se': '0.001698', 'radius_worst': '24.86', 'texture_worst': '26.58', 'perimeter_worst': '165.9', 'area_worst': '1866', 'smoothness_worst': '0.1193', 'compactness_worst': '0.2336', 'concavity_worst': '0.2687', 'concave points_worst': '0.1789', 'symmetry_worst': '0.2551', 'fractal_dimension_worst': '0.06589'}
{'id': '859711', 'diagnosis': 'B', 'radius_mean': '8.888', 'texture_mean': '14.64', 'perimeter_mean': '58.79', 'area_mean': '244', 'smoothness_mean': '0.09783', 'compactness_mean': '0.1531', 'concavity_mean': '0.08606', 'concave points_mean': '0.02872', 'symmetry_mean': '0.1902', 'fractal_dimension_mean': '0.0898', 'radius_se': '0.5262', 'texture_se': '0.8522', 'perimeter_se': '3.168', 'area_se': '25.44', 'smoothness_se': '0.01721', 'compactness_se': '0.09368', 'concavity_se': '0.05671', 'concave points_se': '0.01766', 'symmetry_se': '0.02541', 'fractal_dimension_se': '0.02193', 'radius_worst': '9.733', 'texture_worst': '15.67', 'perimeter_worst': '62.56', 'area_worst': '284.4', 'smoothness_worst': '0.1207', 'compactness_worst': '0.2436', 'concavity_worst': '0.1434', 'concave points_worst': '0.04786', 'symmetry_worst': '0.2254', 'fractal_dimension_worst': '0.1084'}
{'id': '859717', 'diagnosis': 'M', 'radius_mean': '17.2', 'texture_mean': '24.52', 'perimeter_mean': '114.2', 'area_mean': '929.4', 'smoothness_mean': '0.1071', 'compactness_mean': '0.183', 'concavity_mean': '0.1692', 'concave points_mean': '0.07944', 'symmetry_mean': '0.1927', 'fractal_dimension_mean': '0.06487', 'radius_se': '0.5907', 'texture_se': '1.041', 'perimeter_se': '3.705', 'area_se': '69.47', 'smoothness_se': '0.00582', 'compactness_se': '0.05616', 'concavity_se': '0.04252', 'concave points_se': '0.01127', 'symmetry_se': '0.01527', 'fractal_dimension_se': '0.006299', 'radius_worst': '23.32', 'texture_worst': '33.82', 'perimeter_worst': '151.6', 'area_worst': '1681', 'smoothness_worst': '0.1585', 'compactness_worst': '0.7394', 'concavity_worst': '0.6566', 'concave points_worst': '0.1899', 'symmetry_worst': '0.3313', 'fractal_dimension_worst': '0.1339'}
{'id': '859983', 'diagnosis': 'M', 'radius_mean': '13.8', 'texture_mean': '15.79', 'perimeter_mean': '90.43', 'area_mean': '584.1', 'smoothness_mean': '0.1007', 'compactness_mean': '0.128', 'concavity_mean': '0.07789', 'concave points_mean': '0.05069', 'symmetry_mean': '0.1662', 'fractal_dimension_mean': '0.06566', 'radius_se': '0.2787', 'texture_se': '0.6205', 'perimeter_se': '1.957', 'area_se': '23.35', 'smoothness_se': '0.004717', 'compactness_se': '0.02065', 'concavity_se': '0.01759', 'concave points_se': '0.009206', 'symmetry_se': '0.0122', 'fractal_dimension_se': '0.00313', 'radius_worst': '16.57', 'texture_worst': '20.86', 'perimeter_worst': '110.3', 'area_worst': '812.4', 'smoothness_worst': '0.1411', 'compactness_worst': '0.3542', 'concavity_worst': '0.2779', 'concave points_worst': '0.1383', 'symmetry_worst': '0.2589', 'fractal_dimension_worst': '0.103'}
{'id': '8610175', 'diagnosis': 'B', 'radius_mean': '12.31', 'texture_mean': '16.52', 'perimeter_mean': '79.19', 'area_mean': '470.9', 'smoothness_mean': '0.09172', 'compactness_mean': '0.06829', 'concavity_mean': '0.03372', 'concave points_mean': '0.02272', 'symmetry_mean': '0.172', 'fractal_dimension_mean': '0.05914', 'radius_se': '0.2505', 'texture_se': '1.025', 'perimeter_se': '1.74', 'area_se': '19.68', 'smoothness_se': '0.004854', 'compactness_se': '0.01819', 'concavity_se': '0.01826', 'concave points_se': '0.007965', 'symmetry_se': '0.01386', 'fractal_dimension_se': '0.002304', 'radius_worst': '14.11', 'texture_worst': '23.21', 'perimeter_worst': '89.71', 'area_worst': '611.1', 'smoothness_worst': '0.1176', 'compactness_worst': '0.1843', 'concavity_worst': '0.1703', 'concave points_worst': '0.0866', 'symmetry_worst': '0.2618', 'fractal_dimension_worst': '0.07609'}
{'id': '8610404', 'diagnosis': 'M', 'radius_mean': '16.07', 'texture_mean': '19.65', 'perimeter_mean': '104.1', 'area_mean': '817.7', 'smoothness_mean': '0.09168', 'compactness_mean': '0.08424', 'concavity_mean': '0.09769', 'concave points_mean': '0.06638', 'symmetry_mean': '0.1798', 'fractal_dimension_mean': '0.05391', 'radius_se': '0.7474', 'texture_se': '1.016', 'perimeter_se': '5.029', 'area_se': '79.25', 'smoothness_se': '0.01082', 'compactness_se': '0.02203', 'concavity_se': '0.035', 'concave points_se': '0.01809', 'symmetry_se': '0.0155', 'fractal_dimension_se': '0.001948', 'radius_worst': '19.77', 'texture_worst': '24.56', 'perimeter_worst': '128.8', 'area_worst': '1223', 'smoothness_worst': '0.15', 'compactness_worst': '0.2045', 'concavity_worst': '0.2829', 'concave points_worst': '0.152', 'symmetry_worst': '0.265', 'fractal_dimension_worst': '0.06387'}
{'id': '8610629', 'diagnosis': 'B', 'radius_mean': '13.53', 'texture_mean': '10.94', 'perimeter_mean': '87.91', 'area_mean': '559.2', 'smoothness_mean': '0.1291', 'compactness_mean': '0.1047', 'concavity_mean': '0.06877', 'concave points_mean': '0.06556', 'symmetry_mean': '0.2403', 'fractal_dimension_mean': '0.06641', 'radius_se': '0.4101', 'texture_se': '1.014', 'perimeter_se': '2.652', 'area_se': '32.65', 'smoothness_se': '0.0134', 'compactness_se': '0.02839', 'concavity_se': '0.01162', 'concave points_se': '0.008239', 'symmetry_se': '0.02572', 'fractal_dimension_se': '0.006164', 'radius_worst': '14.08', 'texture_worst': '12.49', 'perimeter_worst': '91.36', 'area_worst': '605.5', 'smoothness_worst': '0.1451', 'compactness_worst': '0.1379', 'concavity_worst': '0.08539', 'concave points_worst': '0.07407', 'symmetry_worst': '0.271', 'fractal_dimension_worst': '0.07191'}
{'id': '8610637', 'diagnosis': 'M', 'radius_mean': '18.05', 'texture_mean': '16.15', 'perimeter_mean': '120.2', 'area_mean': '1006', 'smoothness_mean': '0.1065', 'compactness_mean': '0.2146', 'concavity_mean': '0.1684', 'concave points_mean': '0.108', 'symmetry_mean': '0.2152', 'fractal_dimension_mean': '0.06673', 'radius_se': '0.9806', 'texture_se': '0.5505', 'perimeter_se': '6.311', 'area_se': '134.8', 'smoothness_se': '0.00794', 'compactness_se': '0.05839', 'concavity_se': '0.04658', 'concave points_se': '0.0207', 'symmetry_se': '0.02591', 'fractal_dimension_se': '0.007054', 'radius_worst': '22.39', 'texture_worst': '18.91', 'perimeter_worst': '150.1', 'area_worst': '1610', 'smoothness_worst': '0.1478', 'compactness_worst': '0.5634', 'concavity_worst': '0.3786', 'concave points_worst': '0.2102', 'symmetry_worst': '0.3751', 'fractal_dimension_worst': '0.1108'}
{'id': '8610862', 'diagnosis': 'M', 'radius_mean': '20.18', 'texture_mean': '23.97', 'perimeter_mean': '143.7', 'area_mean': '1245', 'smoothness_mean': '0.1286', 'compactness_mean': '0.3454', 'concavity_mean': '0.3754', 'concave points_mean': '0.1604', 'symmetry_mean': '0.2906', 'fractal_dimension_mean': '0.08142', 'radius_se': '0.9317', 'texture_se': '1.885', 'perimeter_se': '8.649', 'area_se': '116.4', 'smoothness_se': '0.01038', 'compactness_se': '0.06835', 'concavity_se': '0.1091', 'concave points_se': '0.02593', 'symmetry_se': '0.07895', 'fractal_dimension_se': '0.005987', 'radius_worst': '23.37', 'texture_worst': '31.72', 'perimeter_worst': '170.3', 'area_worst': '1623', 'smoothness_worst': '0.1639', 'compactness_worst': '0.6164', 'concavity_worst': '0.7681', 'concave points_worst': '0.2508', 'symmetry_worst': '0.544', 'fractal_dimension_worst': '0.09964'}
{'id': '8610908', 'diagnosis': 'B', 'radius_mean': '12.86', 'texture_mean': '18', 'perimeter_mean': '83.19', 'area_mean': '506.3', 'smoothness_mean': '0.09934', 'compactness_mean': '0.09546', 'concavity_mean': '0.03889', 'concave points_mean': '0.02315', 'symmetry_mean': '0.1718', 'fractal_dimension_mean': '0.05997', 'radius_se': '0.2655', 'texture_se': '1.095', 'perimeter_se': '1.778', 'area_se': '20.35', 'smoothness_se': '0.005293', 'compactness_se': '0.01661', 'concavity_se': '0.02071', 'concave points_se': '0.008179', 'symmetry_se': '0.01748', 'fractal_dimension_se': '0.002848', 'radius_worst': '14.24', 'texture_worst': '24.82', 'perimeter_worst': '91.88', 'area_worst': '622.1', 'smoothness_worst': '0.1289', 'compactness_worst': '0.2141', 'concavity_worst': '0.1731', 'concave points_worst': '0.07926', 'symmetry_worst': '0.2779', 'fractal_dimension_worst': '0.07918'}
{'id': '861103', 'diagnosis': 'B', 'radius_mean': '11.45', 'texture_mean': '20.97', 'perimeter_mean': '73.81', 'area_mean': '401.5', 'smoothness_mean': '0.1102', 'compactness_mean': '0.09362', 'concavity_mean': '0.04591', 'concave points_mean': '0.02233', 'symmetry_mean': '0.1842', 'fractal_dimension_mean': '0.07005', 'radius_se': '0.3251', 'texture_se': '2.174', 'perimeter_se': '2.077', 'area_se': '24.62', 'smoothness_se': '0.01037', 'compactness_se': '0.01706', 'concavity_se': '0.02586', 'concave points_se': '0.007506', 'symmetry_se': '0.01816', 'fractal_dimension_se': '0.003976', 'radius_worst': '13.11', 'texture_worst': '32.16', 'perimeter_worst': '84.53', 'area_worst': '525.1', 'smoothness_worst': '0.1557', 'compactness_worst': '0.1676', 'concavity_worst': '0.1755', 'concave points_worst': '0.06127', 'symmetry_worst': '0.2762', 'fractal_dimension_worst': '0.08851'}
{'id': '8611161', 'diagnosis': 'B', 'radius_mean': '13.34', 'texture_mean': '15.86', 'perimeter_mean': '86.49', 'area_mean': '520', 'smoothness_mean': '0.1078', 'compactness_mean': '0.1535', 'concavity_mean': '0.1169', 'concave points_mean': '0.06987', 'symmetry_mean': '0.1942', 'fractal_dimension_mean': '0.06902', 'radius_se': '0.286', 'texture_se': '1.016', 'perimeter_se': '1.535', 'area_se': '12.96', 'smoothness_se': '0.006794', 'compactness_se': '0.03575', 'concavity_se': '0.0398', 'concave points_se': '0.01383', 'symmetry_se': '0.02134', 'fractal_dimension_se': '0.004603', 'radius_worst': '15.53', 'texture_worst': '23.19', 'perimeter_worst': '96.66', 'area_worst': '614.9', 'smoothness_worst': '0.1536', 'compactness_worst': '0.4791', 'concavity_worst': '0.4858', 'concave points_worst': '0.1708', 'symmetry_worst': '0.3527', 'fractal_dimension_worst': '0.1016'}
{'id': '8611555', 'diagnosis': 'M', 'radius_mean': '25.22', 'texture_mean': '24.91', 'perimeter_mean': '171.5', 'area_mean': '1878', 'smoothness_mean': '0.1063', 'compactness_mean': '0.2665', 'concavity_mean': '0.3339', 'concave points_mean': '0.1845', 'symmetry_mean': '0.1829', 'fractal_dimension_mean': '0.06782', 'radius_se': '0.8973', 'texture_se': '1.474', 'perimeter_se': '7.382', 'area_se': '120', 'smoothness_se': '0.008166', 'compactness_se': '0.05693', 'concavity_se': '0.0573', 'concave points_se': '0.0203', 'symmetry_se': '0.01065', 'fractal_dimension_se': '0.005893', 'radius_worst': '30', 'texture_worst': '33.62', 'perimeter_worst': '211.7', 'area_worst': '2562', 'smoothness_worst': '0.1573', 'compactness_worst': '0.6076', 'concavity_worst': '0.6476', 'concave points_worst': '0.2867', 'symmetry_worst': '0.2355', 'fractal_dimension_worst': '0.1051'}
{'id': '8611792', 'diagnosis': 'M', 'radius_mean': '19.1', 'texture_mean': '26.29', 'perimeter_mean': '129.1', 'area_mean': '1132', 'smoothness_mean': '0.1215', 'compactness_mean': '0.1791', 'concavity_mean': '0.1937', 'concave points_mean': '0.1469', 'symmetry_mean': '0.1634', 'fractal_dimension_mean': '0.07224', 'radius_se': '0.519', 'texture_se': '2.91', 'perimeter_se': '5.801', 'area_se': '67.1', 'smoothness_se': '0.007545', 'compactness_se': '0.0605', 'concavity_se': '0.02134', 'concave points_se': '0.01843', 'symmetry_se': '0.03056', 'fractal_dimension_se': '0.01039', 'radius_worst': '20.33', 'texture_worst': '32.72', 'perimeter_worst': '141.3', 'area_worst': '1298', 'smoothness_worst': '0.1392', 'compactness_worst': '0.2817', 'concavity_worst': '0.2432', 'concave points_worst': '0.1841', 'symmetry_worst': '0.2311', 'fractal_dimension_worst': '0.09203'}
{'id': '8612080', 'diagnosis': 'B', 'radius_mean': '12', 'texture_mean': '15.65', 'perimeter_mean': '76.95', 'area_mean': '443.3', 'smoothness_mean': '0.09723', 'compactness_mean': '0.07165', 'concavity_mean': '0.04151', 'concave points_mean': '0.01863', 'symmetry_mean': '0.2079', 'fractal_dimension_mean': '0.05968', 'radius_se': '0.2271', 'texture_se': '1.255', 'perimeter_se': '1.441', 'area_se': '16.16', 'smoothness_se': '0.005969', 'compactness_se': '0.01812', 'concavity_se': '0.02007', 'concave points_se': '0.007027', 'symmetry_se': '0.01972', 'fractal_dimension_se': '0.002607', 'radius_worst': '13.67', 'texture_worst': '24.9', 'perimeter_worst': '87.78', 'area_worst': '567.9', 'smoothness_worst': '0.1377', 'compactness_worst': '0.2003', 'concavity_worst': '0.2267', 'concave points_worst': '0.07632', 'symmetry_worst': '0.3379', 'fractal_dimension_worst': '0.07924'}
{'id': '8612399', 'diagnosis': 'M', 'radius_mean': '18.46', 'texture_mean': '18.52', 'perimeter_mean': '121.1', 'area_mean': '1075', 'smoothness_mean': '0.09874', 'compactness_mean': '0.1053', 'concavity_mean': '0.1335', 'concave points_mean': '0.08795', 'symmetry_mean': '0.2132', 'fractal_dimension_mean': '0.06022', 'radius_se': '0.6997', 'texture_se': '1.475', 'perimeter_se': '4.782', 'area_se': '80.6', 'smoothness_se': '0.006471', 'compactness_se': '0.01649', 'concavity_se': '0.02806', 'concave points_se': '0.0142', 'symmetry_se': '0.0237', 'fractal_dimension_se': '0.003755', 'radius_worst': '22.93', 'texture_worst': '27.68', 'perimeter_worst': '152.2', 'area_worst': '1603', 'smoothness_worst': '0.1398', 'compactness_worst': '0.2089', 'concavity_worst': '0.3157', 'concave points_worst': '0.1642', 'symmetry_worst': '0.3695', 'fractal_dimension_worst': '0.08579'}
{'id': '86135501', 'diagnosis': 'M', 'radius_mean': '14.48', 'texture_mean': '21.46', 'perimeter_mean': '94.25', 'area_mean': '648.2', 'smoothness_mean': '0.09444', 'compactness_mean': '0.09947', 'concavity_mean': '0.1204', 'concave points_mean': '0.04938', 'symmetry_mean': '0.2075', 'fractal_dimension_mean': '0.05636', 'radius_se': '0.4204', 'texture_se': '2.22', 'perimeter_se': '3.301', 'area_se': '38.87', 'smoothness_se': '0.009369', 'compactness_se': '0.02983', 'concavity_se': '0.05371', 'concave points_se': '0.01761', 'symmetry_se': '0.02418', 'fractal_dimension_se': '0.003249', 'radius_worst': '16.21', 'texture_worst': '29.25', 'perimeter_worst': '108.4', 'area_worst': '808.9', 'smoothness_worst': '0.1306', 'compactness_worst': '0.1976', 'concavity_worst': '0.3349', 'concave points_worst': '0.1225', 'symmetry_worst': '0.302', 'fractal_dimension_worst': '0.06846'}
{'id': '86135502', 'diagnosis': 'M', 'radius_mean': '19.02', 'texture_mean': '24.59', 'perimeter_mean': '122', 'area_mean': '1076', 'smoothness_mean': '0.09029', 'compactness_mean': '0.1206', 'concavity_mean': '0.1468', 'concave points_mean': '0.08271', 'symmetry_mean': '0.1953', 'fractal_dimension_mean': '0.05629', 'radius_se': '0.5495', 'texture_se': '0.6636', 'perimeter_se': '3.055', 'area_se': '57.65', 'smoothness_se': '0.003872', 'compactness_se': '0.01842', 'concavity_se': '0.0371', 'concave points_se': '0.012', 'symmetry_se': '0.01964', 'fractal_dimension_se': '0.003337', 'radius_worst': '24.56', 'texture_worst': '30.41', 'perimeter_worst': '152.9', 'area_worst': '1623', 'smoothness_worst': '0.1249', 'compactness_worst': '0.3206', 'concavity_worst': '0.5755', 'concave points_worst': '0.1956', 'symmetry_worst': '0.3956', 'fractal_dimension_worst': '0.09288'}
{'id': '861597', 'diagnosis': 'B', 'radius_mean': '12.36', 'texture_mean': '21.8', 'perimeter_mean': '79.78', 'area_mean': '466.1', 'smoothness_mean': '0.08772', 'compactness_mean': '0.09445', 'concavity_mean': '0.06015', 'concave points_mean': '0.03745', 'symmetry_mean': '0.193', 'fractal_dimension_mean': '0.06404', 'radius_se': '0.2978', 'texture_se': '1.502', 'perimeter_se': '2.203', 'area_se': '20.95', 'smoothness_se': '0.007112', 'compactness_se': '0.02493', 'concavity_se': '0.02703', 'concave points_se': '0.01293', 'symmetry_se': '0.01958', 'fractal_dimension_se': '0.004463', 'radius_worst': '13.83', 'texture_worst': '30.5', 'perimeter_worst': '91.46', 'area_worst': '574.7', 'smoothness_worst': '0.1304', 'compactness_worst': '0.2463', 'concavity_worst': '0.2434', 'concave points_worst': '0.1205', 'symmetry_worst': '0.2972', 'fractal_dimension_worst': '0.09261'}
{'id': '861598', 'diagnosis': 'B', 'radius_mean': '14.64', 'texture_mean': '15.24', 'perimeter_mean': '95.77', 'area_mean': '651.9', 'smoothness_mean': '0.1132', 'compactness_mean': '0.1339', 'concavity_mean': '0.09966', 'concave points_mean': '0.07064', 'symmetry_mean': '0.2116', 'fractal_dimension_mean': '0.06346', 'radius_se': '0.5115', 'texture_se': '0.7372', 'perimeter_se': '3.814', 'area_se': '42.76', 'smoothness_se': '0.005508', 'compactness_se': '0.04412', 'concavity_se': '0.04436', 'concave points_se': '0.01623', 'symmetry_se': '0.02427', 'fractal_dimension_se': '0.004841', 'radius_worst': '16.34', 'texture_worst': '18.24', 'perimeter_worst': '109.4', 'area_worst': '803.6', 'smoothness_worst': '0.1277', 'compactness_worst': '0.3089', 'concavity_worst': '0.2604', 'concave points_worst': '0.1397', 'symmetry_worst': '0.3151', 'fractal_dimension_worst': '0.08473'}
{'id': '861648', 'diagnosis': 'B', 'radius_mean': '14.62', 'texture_mean': '24.02', 'perimeter_mean': '94.57', 'area_mean': '662.7', 'smoothness_mean': '0.08974', 'compactness_mean': '0.08606', 'concavity_mean': '0.03102', 'concave points_mean': '0.02957', 'symmetry_mean': '0.1685', 'fractal_dimension_mean': '0.05866', 'radius_se': '0.3721', 'texture_se': '1.111', 'perimeter_se': '2.279', 'area_se': '33.76', 'smoothness_se': '0.004868', 'compactness_se': '0.01818', 'concavity_se': '0.01121', 'concave points_se': '0.008606', 'symmetry_se': '0.02085', 'fractal_dimension_se': '0.002893', 'radius_worst': '16.11', 'texture_worst': '29.11', 'perimeter_worst': '102.9', 'area_worst': '803.7', 'smoothness_worst': '0.1115', 'compactness_worst': '0.1766', 'concavity_worst': '0.09189', 'concave points_worst': '0.06946', 'symmetry_worst': '0.2522', 'fractal_dimension_worst': '0.07246'}
{'id': '861799', 'diagnosis': 'M', 'radius_mean': '15.37', 'texture_mean': '22.76', 'perimeter_mean': '100.2', 'area_mean': '728.2', 'smoothness_mean': '0.092', 'compactness_mean': '0.1036', 'concavity_mean': '0.1122', 'concave points_mean': '0.07483', 'symmetry_mean': '0.1717', 'fractal_dimension_mean': '0.06097', 'radius_se': '0.3129', 'texture_se': '0.8413', 'perimeter_se': '2.075', 'area_se': '29.44', 'smoothness_se': '0.009882', 'compactness_se': '0.02444', 'concavity_se': '0.04531', 'concave points_se': '0.01763', 'symmetry_se': '0.02471', 'fractal_dimension_se': '0.002142', 'radius_worst': '16.43', 'texture_worst': '25.84', 'perimeter_worst': '107.5', 'area_worst': '830.9', 'smoothness_worst': '0.1257', 'compactness_worst': '0.1997', 'concavity_worst': '0.2846', 'concave points_worst': '0.1476', 'symmetry_worst': '0.2556', 'fractal_dimension_worst': '0.06828'}
{'id': '861853', 'diagnosis': 'B', 'radius_mean': '13.27', 'texture_mean': '14.76', 'perimeter_mean': '84.74', 'area_mean': '551.7', 'smoothness_mean': '0.07355', 'compactness_mean': '0.05055', 'concavity_mean': '0.03261', 'concave points_mean': '0.02648', 'symmetry_mean': '0.1386', 'fractal_dimension_mean': '0.05318', 'radius_se': '0.4057', 'texture_se': '1.153', 'perimeter_se': '2.701', 'area_se': '36.35', 'smoothness_se': '0.004481', 'compactness_se': '0.01038', 'concavity_se': '0.01358', 'concave points_se': '0.01082', 'symmetry_se': '0.01069', 'fractal_dimension_se': '0.001435', 'radius_worst': '16.36', 'texture_worst': '22.35', 'perimeter_worst': '104.5', 'area_worst': '830.6', 'smoothness_worst': '0.1006', 'compactness_worst': '0.1238', 'concavity_worst': '0.135', 'concave points_worst': '0.1001', 'symmetry_worst': '0.2027', 'fractal_dimension_worst': '0.06206'}
{'id': '862009', 'diagnosis': 'B', 'radius_mean': '13.45', 'texture_mean': '18.3', 'perimeter_mean': '86.6', 'area_mean': '555.1', 'smoothness_mean': '0.1022', 'compactness_mean': '0.08165', 'concavity_mean': '0.03974', 'concave points_mean': '0.0278', 'symmetry_mean': '0.1638', 'fractal_dimension_mean': '0.0571', 'radius_se': '0.295', 'texture_se': '1.373', 'perimeter_se': '2.099', 'area_se': '25.22', 'smoothness_se': '0.005884', 'compactness_se': '0.01491', 'concavity_se': '0.01872', 'concave points_se': '0.009366', 'symmetry_se': '0.01884', 'fractal_dimension_se': '0.001817', 'radius_worst': '15.1', 'texture_worst': '25.94', 'perimeter_worst': '97.59', 'area_worst': '699.4', 'smoothness_worst': '0.1339', 'compactness_worst': '0.1751', 'concavity_worst': '0.1381', 'concave points_worst': '0.07911', 'symmetry_worst': '0.2678', 'fractal_dimension_worst': '0.06603'}
{'id': '862028', 'diagnosis': 'M', 'radius_mean': '15.06', 'texture_mean': '19.83', 'perimeter_mean': '100.3', 'area_mean': '705.6', 'smoothness_mean': '0.1039', 'compactness_mean': '0.1553', 'concavity_mean': '0.17', 'concave points_mean': '0.08815', 'symmetry_mean': '0.1855', 'fractal_dimension_mean': '0.06284', 'radius_se': '0.4768', 'texture_se': '0.9644', 'perimeter_se': '3.706', 'area_se': '47.14', 'smoothness_se': '0.00925', 'compactness_se': '0.03715', 'concavity_se': '0.04867', 'concave points_se': '0.01851', 'symmetry_se': '0.01498', 'fractal_dimension_se': '0.00352', 'radius_worst': '18.23', 'texture_worst': '24.23', 'perimeter_worst': '123.5', 'area_worst': '1025', 'smoothness_worst': '0.1551', 'compactness_worst': '0.4203', 'concavity_worst': '0.5203', 'concave points_worst': '0.2115', 'symmetry_worst': '0.2834', 'fractal_dimension_worst': '0.08234'}
{'id': '86208', 'diagnosis': 'M', 'radius_mean': '20.26', 'texture_mean': '23.03', 'perimeter_mean': '132.4', 'area_mean': '1264', 'smoothness_mean': '0.09078', 'compactness_mean': '0.1313', 'concavity_mean': '0.1465', 'concave points_mean': '0.08683', 'symmetry_mean': '0.2095', 'fractal_dimension_mean': '0.05649', 'radius_se': '0.7576', 'texture_se': '1.509', 'perimeter_se': '4.554', 'area_se': '87.87', 'smoothness_se': '0.006016', 'compactness_se': '0.03482', 'concavity_se': '0.04232', 'concave points_se': '0.01269', 'symmetry_se': '0.02657', 'fractal_dimension_se': '0.004411', 'radius_worst': '24.22', 'texture_worst': '31.59', 'perimeter_worst': '156.1', 'area_worst': '1750', 'smoothness_worst': '0.119', 'compactness_worst': '0.3539', 'concavity_worst': '0.4098', 'concave points_worst': '0.1573', 'symmetry_worst': '0.3689', 'fractal_dimension_worst': '0.08368'}
{'id': '86211', 'diagnosis': 'B', 'radius_mean': '12.18', 'texture_mean': '17.84', 'perimeter_mean': '77.79', 'area_mean': '451.1', 'smoothness_mean': '0.1045', 'compactness_mean': '0.07057', 'concavity_mean': '0.0249', 'concave points_mean': '0.02941', 'symmetry_mean': '0.19', 'fractal_dimension_mean': '0.06635', 'radius_se': '0.3661', 'texture_se': '1.511', 'perimeter_se': '2.41', 'area_se': '24.44', 'smoothness_se': '0.005433', 'compactness_se': '0.01179', 'concavity_se': '0.01131', 'concave points_se': '0.01519', 'symmetry_se': '0.0222', 'fractal_dimension_se': '0.003408', 'radius_worst': '12.83', 'texture_worst': '20.92', 'perimeter_worst': '82.14', 'area_worst': '495.2', 'smoothness_worst': '0.114', 'compactness_worst': '0.09358', 'concavity_worst': '0.0498', 'concave points_worst': '0.05882', 'symmetry_worst': '0.2227', 'fractal_dimension_worst': '0.07376'}
{'id': '862261', 'diagnosis': 'B', 'radius_mean': '9.787', 'texture_mean': '19.94', 'perimeter_mean': '62.11', 'area_mean': '294.5', 'smoothness_mean': '0.1024', 'compactness_mean': '0.05301', 'concavity_mean': '0.006829', 'concave points_mean': '0.007937', 'symmetry_mean': '0.135', 'fractal_dimension_mean': '0.0689', 'radius_se': '0.335', 'texture_se': '2.043', 'perimeter_se': '2.132', 'area_se': '20.05', 'smoothness_se': '0.01113', 'compactness_se': '0.01463', 'concavity_se': '0.005308', 'concave points_se': '0.00525', 'symmetry_se': '0.01801', 'fractal_dimension_se': '0.005667', 'radius_worst': '10.92', 'texture_worst': '26.29', 'perimeter_worst': '68.81', 'area_worst': '366.1', 'smoothness_worst': '0.1316', 'compactness_worst': '0.09473', 'concavity_worst': '0.02049', 'concave points_worst': '0.02381', 'symmetry_worst': '0.1934', 'fractal_dimension_worst': '0.08988'}
{'id': '862485', 'diagnosis': 'B', 'radius_mean': '11.6', 'texture_mean': '12.84', 'perimeter_mean': '74.34', 'area_mean': '412.6', 'smoothness_mean': '0.08983', 'compactness_mean': '0.07525', 'concavity_mean': '0.04196', 'concave points_mean': '0.0335', 'symmetry_mean': '0.162', 'fractal_dimension_mean': '0.06582', 'radius_se': '0.2315', 'texture_se': '0.5391', 'perimeter_se': '1.475', 'area_se': '15.75', 'smoothness_se': '0.006153', 'compactness_se': '0.0133', 'concavity_se': '0.01693', 'concave points_se': '0.006884', 'symmetry_se': '0.01651', 'fractal_dimension_se': '0.002551', 'radius_worst': '13.06', 'texture_worst': '17.16', 'perimeter_worst': '82.96', 'area_worst': '512.5', 'smoothness_worst': '0.1431', 'compactness_worst': '0.1851', 'concavity_worst': '0.1922', 'concave points_worst': '0.08449', 'symmetry_worst': '0.2772', 'fractal_dimension_worst': '0.08756'}
{'id': '862548', 'diagnosis': 'M', 'radius_mean': '14.42', 'texture_mean': '19.77', 'perimeter_mean': '94.48', 'area_mean': '642.5', 'smoothness_mean': '0.09752', 'compactness_mean': '0.1141', 'concavity_mean': '0.09388', 'concave points_mean': '0.05839', 'symmetry_mean': '0.1879', 'fractal_dimension_mean': '0.0639', 'radius_se': '0.2895', 'texture_se': '1.851', 'perimeter_se': '2.376', 'area_se': '26.85', 'smoothness_se': '0.008005', 'compactness_se': '0.02895', 'concavity_se': '0.03321', 'concave points_se': '0.01424', 'symmetry_se': '0.01462', 'fractal_dimension_se': '0.004452', 'radius_worst': '16.33', 'texture_worst': '30.86', 'perimeter_worst': '109.5', 'area_worst': '826.4', 'smoothness_worst': '0.1431', 'compactness_worst': '0.3026', 'concavity_worst': '0.3194', 'concave points_worst': '0.1565', 'symmetry_worst': '0.2718', 'fractal_dimension_worst': '0.09353'}
{'id': '862717', 'diagnosis': 'M', 'radius_mean': '13.61', 'texture_mean': '24.98', 'perimeter_mean': '88.05', 'area_mean': '582.7', 'smoothness_mean': '0.09488', 'compactness_mean': '0.08511', 'concavity_mean': '0.08625', 'concave points_mean': '0.04489', 'symmetry_mean': '0.1609', 'fractal_dimension_mean': '0.05871', 'radius_se': '0.4565', 'texture_se': '1.29', 'perimeter_se': '2.861', 'area_se': '43.14', 'smoothness_se': '0.005872', 'compactness_se': '0.01488', 'concavity_se': '0.02647', 'concave points_se': '0.009921', 'symmetry_se': '0.01465', 'fractal_dimension_se': '0.002355', 'radius_worst': '16.99', 'texture_worst': '35.27', 'perimeter_worst': '108.6', 'area_worst': '906.5', 'smoothness_worst': '0.1265', 'compactness_worst': '0.1943', 'concavity_worst': '0.3169', 'concave points_worst': '0.1184', 'symmetry_worst': '0.2651', 'fractal_dimension_worst': '0.07397'}
{'id': '862722', 'diagnosis': 'B', 'radius_mean': '6.981', 'texture_mean': '13.43', 'perimeter_mean': '43.79', 'area_mean': '143.5', 'smoothness_mean': '0.117', 'compactness_mean': '0.07568', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.193', 'fractal_dimension_mean': '0.07818', 'radius_se': '0.2241', 'texture_se': '1.508', 'perimeter_se': '1.553', 'area_se': '9.833', 'smoothness_se': '0.01019', 'compactness_se': '0.01084', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.02659', 'fractal_dimension_se': '0.0041', 'radius_worst': '7.93', 'texture_worst': '19.54', 'perimeter_worst': '50.41', 'area_worst': '185.2', 'smoothness_worst': '0.1584', 'compactness_worst': '0.1202', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.2932', 'fractal_dimension_worst': '0.09382'}
{'id': '862965', 'diagnosis': 'B', 'radius_mean': '12.18', 'texture_mean': '20.52', 'perimeter_mean': '77.22', 'area_mean': '458.7', 'smoothness_mean': '0.08013', 'compactness_mean': '0.04038', 'concavity_mean': '0.02383', 'concave points_mean': '0.0177', 'symmetry_mean': '0.1739', 'fractal_dimension_mean': '0.05677', 'radius_se': '0.1924', 'texture_se': '1.571', 'perimeter_se': '1.183', 'area_se': '14.68', 'smoothness_se': '0.00508', 'compactness_se': '0.006098', 'concavity_se': '0.01069', 'concave points_se': '0.006797', 'symmetry_se': '0.01447', 'fractal_dimension_se': '0.001532', 'radius_worst': '13.34', 'texture_worst': '32.84', 'perimeter_worst': '84.58', 'area_worst': '547.8', 'smoothness_worst': '0.1123', 'compactness_worst': '0.08862', 'concavity_worst': '0.1145', 'concave points_worst': '0.07431', 'symmetry_worst': '0.2694', 'fractal_dimension_worst': '0.06878'}
{'id': '862980', 'diagnosis': 'B', 'radius_mean': '9.876', 'texture_mean': '19.4', 'perimeter_mean': '63.95', 'area_mean': '298.3', 'smoothness_mean': '0.1005', 'compactness_mean': '0.09697', 'concavity_mean': '0.06154', 'concave points_mean': '0.03029', 'symmetry_mean': '0.1945', 'fractal_dimension_mean': '0.06322', 'radius_se': '0.1803', 'texture_se': '1.222', 'perimeter_se': '1.528', 'area_se': '11.77', 'smoothness_se': '0.009058', 'compactness_se': '0.02196', 'concavity_se': '0.03029', 'concave points_se': '0.01112', 'symmetry_se': '0.01609', 'fractal_dimension_se': '0.00357', 'radius_worst': '10.76', 'texture_worst': '26.83', 'perimeter_worst': '72.22', 'area_worst': '361.2', 'smoothness_worst': '0.1559', 'compactness_worst': '0.2302', 'concavity_worst': '0.2644', 'concave points_worst': '0.09749', 'symmetry_worst': '0.2622', 'fractal_dimension_worst': '0.0849'}
{'id': '862989', 'diagnosis': 'B', 'radius_mean': '10.49', 'texture_mean': '19.29', 'perimeter_mean': '67.41', 'area_mean': '336.1', 'smoothness_mean': '0.09989', 'compactness_mean': '0.08578', 'concavity_mean': '0.02995', 'concave points_mean': '0.01201', 'symmetry_mean': '0.2217', 'fractal_dimension_mean': '0.06481', 'radius_se': '0.355', 'texture_se': '1.534', 'perimeter_se': '2.302', 'area_se': '23.13', 'smoothness_se': '0.007595', 'compactness_se': '0.02219', 'concavity_se': '0.0288', 'concave points_se': '0.008614', 'symmetry_se': '0.0271', 'fractal_dimension_se': '0.003451', 'radius_worst': '11.54', 'texture_worst': '23.31', 'perimeter_worst': '74.22', 'area_worst': '402.8', 'smoothness_worst': '0.1219', 'compactness_worst': '0.1486', 'concavity_worst': '0.07987', 'concave points_worst': '0.03203', 'symmetry_worst': '0.2826', 'fractal_dimension_worst': '0.07552'}
{'id': '863030', 'diagnosis': 'M', 'radius_mean': '13.11', 'texture_mean': '15.56', 'perimeter_mean': '87.21', 'area_mean': '530.2', 'smoothness_mean': '0.1398', 'compactness_mean': '0.1765', 'concavity_mean': '0.2071', 'concave points_mean': '0.09601', 'symmetry_mean': '0.1925', 'fractal_dimension_mean': '0.07692', 'radius_se': '0.3908', 'texture_se': '0.9238', 'perimeter_se': '2.41', 'area_se': '34.66', 'smoothness_se': '0.007162', 'compactness_se': '0.02912', 'concavity_se': '0.05473', 'concave points_se': '0.01388', 'symmetry_se': '0.01547', 'fractal_dimension_se': '0.007098', 'radius_worst': '16.31', 'texture_worst': '22.4', 'perimeter_worst': '106.4', 'area_worst': '827.2', 'smoothness_worst': '0.1862', 'compactness_worst': '0.4099', 'concavity_worst': '0.6376', 'concave points_worst': '0.1986', 'symmetry_worst': '0.3147', 'fractal_dimension_worst': '0.1405'}
{'id': '863031', 'diagnosis': 'B', 'radius_mean': '11.64', 'texture_mean': '18.33', 'perimeter_mean': '75.17', 'area_mean': '412.5', 'smoothness_mean': '0.1142', 'compactness_mean': '0.1017', 'concavity_mean': '0.0707', 'concave points_mean': '0.03485', 'symmetry_mean': '0.1801', 'fractal_dimension_mean': '0.0652', 'radius_se': '0.306', 'texture_se': '1.657', 'perimeter_se': '2.155', 'area_se': '20.62', 'smoothness_se': '0.00854', 'compactness_se': '0.0231', 'concavity_se': '0.02945', 'concave points_se': '0.01398', 'symmetry_se': '0.01565', 'fractal_dimension_se': '0.00384', 'radius_worst': '13.14', 'texture_worst': '29.26', 'perimeter_worst': '85.51', 'area_worst': '521.7', 'smoothness_worst': '0.1688', 'compactness_worst': '0.266', 'concavity_worst': '0.2873', 'concave points_worst': '0.1218', 'symmetry_worst': '0.2806', 'fractal_dimension_worst': '0.09097'}
{'id': '863270', 'diagnosis': 'B', 'radius_mean': '12.36', 'texture_mean': '18.54', 'perimeter_mean': '79.01', 'area_mean': '466.7', 'smoothness_mean': '0.08477', 'compactness_mean': '0.06815', 'concavity_mean': '0.02643', 'concave points_mean': '0.01921', 'symmetry_mean': '0.1602', 'fractal_dimension_mean': '0.06066', 'radius_se': '0.1199', 'texture_se': '0.8944', 'perimeter_se': '0.8484', 'area_se': '9.227', 'smoothness_se': '0.003457', 'compactness_se': '0.01047', 'concavity_se': '0.01167', 'concave points_se': '0.005558', 'symmetry_se': '0.01251', 'fractal_dimension_se': '0.001356', 'radius_worst': '13.29', 'texture_worst': '27.49', 'perimeter_worst': '85.56', 'area_worst': '544.1', 'smoothness_worst': '0.1184', 'compactness_worst': '0.1963', 'concavity_worst': '0.1937', 'concave points_worst': '0.08442', 'symmetry_worst': '0.2983', 'fractal_dimension_worst': '0.07185'}
{'id': '86355', 'diagnosis': 'M', 'radius_mean': '22.27', 'texture_mean': '19.67', 'perimeter_mean': '152.8', 'area_mean': '1509', 'smoothness_mean': '0.1326', 'compactness_mean': '0.2768', 'concavity_mean': '0.4264', 'concave points_mean': '0.1823', 'symmetry_mean': '0.2556', 'fractal_dimension_mean': '0.07039', 'radius_se': '1.215', 'texture_se': '1.545', 'perimeter_se': '10.05', 'area_se': '170', 'smoothness_se': '0.006515', 'compactness_se': '0.08668', 'concavity_se': '0.104', 'concave points_se': '0.0248', 'symmetry_se': '0.03112', 'fractal_dimension_se': '0.005037', 'radius_worst': '28.4', 'texture_worst': '28.01', 'perimeter_worst': '206.8', 'area_worst': '2360', 'smoothness_worst': '0.1701', 'compactness_worst': '0.6997', 'concavity_worst': '0.9608', 'concave points_worst': '0.291', 'symmetry_worst': '0.4055', 'fractal_dimension_worst': '0.09789'}
{'id': '864018', 'diagnosis': 'B', 'radius_mean': '11.34', 'texture_mean': '21.26', 'perimeter_mean': '72.48', 'area_mean': '396.5', 'smoothness_mean': '0.08759', 'compactness_mean': '0.06575', 'concavity_mean': '0.05133', 'concave points_mean': '0.01899', 'symmetry_mean': '0.1487', 'fractal_dimension_mean': '0.06529', 'radius_se': '0.2344', 'texture_se': '0.9861', 'perimeter_se': '1.597', 'area_se': '16.41', 'smoothness_se': '0.009113', 'compactness_se': '0.01557', 'concavity_se': '0.02443', 'concave points_se': '0.006435', 'symmetry_se': '0.01568', 'fractal_dimension_se': '0.002477', 'radius_worst': '13.01', 'texture_worst': '29.15', 'perimeter_worst': '83.99', 'area_worst': '518.1', 'smoothness_worst': '0.1699', 'compactness_worst': '0.2196', 'concavity_worst': '0.312', 'concave points_worst': '0.08278', 'symmetry_worst': '0.2829', 'fractal_dimension_worst': '0.08832'}
{'id': '864033', 'diagnosis': 'B', 'radius_mean': '9.777', 'texture_mean': '16.99', 'perimeter_mean': '62.5', 'area_mean': '290.2', 'smoothness_mean': '0.1037', 'compactness_mean': '0.08404', 'concavity_mean': '0.04334', 'concave points_mean': '0.01778', 'symmetry_mean': '0.1584', 'fractal_dimension_mean': '0.07065', 'radius_se': '0.403', 'texture_se': '1.424', 'perimeter_se': '2.747', 'area_se': '22.87', 'smoothness_se': '0.01385', 'compactness_se': '0.02932', 'concavity_se': '0.02722', 'concave points_se': '0.01023', 'symmetry_se': '0.03281', 'fractal_dimension_se': '0.004638', 'radius_worst': '11.05', 'texture_worst': '21.47', 'perimeter_worst': '71.68', 'area_worst': '367', 'smoothness_worst': '0.1467', 'compactness_worst': '0.1765', 'concavity_worst': '0.13', 'concave points_worst': '0.05334', 'symmetry_worst': '0.2533', 'fractal_dimension_worst': '0.08468'}
{'id': '86408', 'diagnosis': 'B', 'radius_mean': '12.63', 'texture_mean': '20.76', 'perimeter_mean': '82.15', 'area_mean': '480.4', 'smoothness_mean': '0.09933', 'compactness_mean': '0.1209', 'concavity_mean': '0.1065', 'concave points_mean': '0.06021', 'symmetry_mean': '0.1735', 'fractal_dimension_mean': '0.0707', 'radius_se': '0.3424', 'texture_se': '1.803', 'perimeter_se': '2.711', 'area_se': '20.48', 'smoothness_se': '0.01291', 'compactness_se': '0.04042', 'concavity_se': '0.05101', 'concave points_se': '0.02295', 'symmetry_se': '0.02144', 'fractal_dimension_se': '0.005891', 'radius_worst': '13.33', 'texture_worst': '25.47', 'perimeter_worst': '89', 'area_worst': '527.4', 'smoothness_worst': '0.1287', 'compactness_worst': '0.225', 'concavity_worst': '0.2216', 'concave points_worst': '0.1105', 'symmetry_worst': '0.2226', 'fractal_dimension_worst': '0.08486'}
{'id': '86409', 'diagnosis': 'B', 'radius_mean': '14.26', 'texture_mean': '19.65', 'perimeter_mean': '97.83', 'area_mean': '629.9', 'smoothness_mean': '0.07837', 'compactness_mean': '0.2233', 'concavity_mean': '0.3003', 'concave points_mean': '0.07798', 'symmetry_mean': '0.1704', 'fractal_dimension_mean': '0.07769', 'radius_se': '0.3628', 'texture_se': '1.49', 'perimeter_se': '3.399', 'area_se': '29.25', 'smoothness_se': '0.005298', 'compactness_se': '0.07446', 'concavity_se': '0.1435', 'concave points_se': '0.02292', 'symmetry_se': '0.02566', 'fractal_dimension_se': '0.01298', 'radius_worst': '15.3', 'texture_worst': '23.73', 'perimeter_worst': '107', 'area_worst': '709', 'smoothness_worst': '0.08949', 'compactness_worst': '0.4193', 'concavity_worst': '0.6783', 'concave points_worst': '0.1505', 'symmetry_worst': '0.2398', 'fractal_dimension_worst': '0.1082'}
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{'id': '864496', 'diagnosis': 'B', 'radius_mean': '8.726', 'texture_mean': '15.83', 'perimeter_mean': '55.84', 'area_mean': '230.9', 'smoothness_mean': '0.115', 'compactness_mean': '0.08201', 'concavity_mean': '0.04132', 'concave points_mean': '0.01924', 'symmetry_mean': '0.1649', 'fractal_dimension_mean': '0.07633', 'radius_se': '0.1665', 'texture_se': '0.5864', 'perimeter_se': '1.354', 'area_se': '8.966', 'smoothness_se': '0.008261', 'compactness_se': '0.02213', 'concavity_se': '0.03259', 'concave points_se': '0.0104', 'symmetry_se': '0.01708', 'fractal_dimension_se': '0.003806', 'radius_worst': '9.628', 'texture_worst': '19.62', 'perimeter_worst': '64.48', 'area_worst': '284.4', 'smoothness_worst': '0.1724', 'compactness_worst': '0.2364', 'concavity_worst': '0.2456', 'concave points_worst': '0.105', 'symmetry_worst': '0.2926', 'fractal_dimension_worst': '0.1017'}
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{'id': '864729', 'diagnosis': 'M', 'radius_mean': '14.87', 'texture_mean': '16.67', 'perimeter_mean': '98.64', 'area_mean': '682.5', 'smoothness_mean': '0.1162', 'compactness_mean': '0.1649', 'concavity_mean': '0.169', 'concave points_mean': '0.08923', 'symmetry_mean': '0.2157', 'fractal_dimension_mean': '0.06768', 'radius_se': '0.4266', 'texture_se': '0.9489', 'perimeter_se': '2.989', 'area_se': '41.18', 'smoothness_se': '0.006985', 'compactness_se': '0.02563', 'concavity_se': '0.03011', 'concave points_se': '0.01271', 'symmetry_se': '0.01602', 'fractal_dimension_se': '0.003884', 'radius_worst': '18.81', 'texture_worst': '27.37', 'perimeter_worst': '127.1', 'area_worst': '1095', 'smoothness_worst': '0.1878', 'compactness_worst': '0.448', 'concavity_worst': '0.4704', 'concave points_worst': '0.2027', 'symmetry_worst': '0.3585', 'fractal_dimension_worst': '0.1065'}
{'id': '864877', 'diagnosis': 'M', 'radius_mean': '15.78', 'texture_mean': '22.91', 'perimeter_mean': '105.7', 'area_mean': '782.6', 'smoothness_mean': '0.1155', 'compactness_mean': '0.1752', 'concavity_mean': '0.2133', 'concave points_mean': '0.09479', 'symmetry_mean': '0.2096', 'fractal_dimension_mean': '0.07331', 'radius_se': '0.552', 'texture_se': '1.072', 'perimeter_se': '3.598', 'area_se': '58.63', 'smoothness_se': '0.008699', 'compactness_se': '0.03976', 'concavity_se': '0.0595', 'concave points_se': '0.0139', 'symmetry_se': '0.01495', 'fractal_dimension_se': '0.005984', 'radius_worst': '20.19', 'texture_worst': '30.5', 'perimeter_worst': '130.3', 'area_worst': '1272', 'smoothness_worst': '0.1855', 'compactness_worst': '0.4925', 'concavity_worst': '0.7356', 'concave points_worst': '0.2034', 'symmetry_worst': '0.3274', 'fractal_dimension_worst': '0.1252'}
{'id': '865128', 'diagnosis': 'M', 'radius_mean': '17.95', 'texture_mean': '20.01', 'perimeter_mean': '114.2', 'area_mean': '982', 'smoothness_mean': '0.08402', 'compactness_mean': '0.06722', 'concavity_mean': '0.07293', 'concave points_mean': '0.05596', 'symmetry_mean': '0.2129', 'fractal_dimension_mean': '0.05025', 'radius_se': '0.5506', 'texture_se': '1.214', 'perimeter_se': '3.357', 'area_se': '54.04', 'smoothness_se': '0.004024', 'compactness_se': '0.008422', 'concavity_se': '0.02291', 'concave points_se': '0.009863', 'symmetry_se': '0.05014', 'fractal_dimension_se': '0.001902', 'radius_worst': '20.58', 'texture_worst': '27.83', 'perimeter_worst': '129.2', 'area_worst': '1261', 'smoothness_worst': '0.1072', 'compactness_worst': '0.1202', 'concavity_worst': '0.2249', 'concave points_worst': '0.1185', 'symmetry_worst': '0.4882', 'fractal_dimension_worst': '0.06111'}
{'id': '865137', 'diagnosis': 'B', 'radius_mean': '11.41', 'texture_mean': '10.82', 'perimeter_mean': '73.34', 'area_mean': '403.3', 'smoothness_mean': '0.09373', 'compactness_mean': '0.06685', 'concavity_mean': '0.03512', 'concave points_mean': '0.02623', 'symmetry_mean': '0.1667', 'fractal_dimension_mean': '0.06113', 'radius_se': '0.1408', 'texture_se': '0.4607', 'perimeter_se': '1.103', 'area_se': '10.5', 'smoothness_se': '0.00604', 'compactness_se': '0.01529', 'concavity_se': '0.01514', 'concave points_se': '0.00646', 'symmetry_se': '0.01344', 'fractal_dimension_se': '0.002206', 'radius_worst': '12.82', 'texture_worst': '15.97', 'perimeter_worst': '83.74', 'area_worst': '510.5', 'smoothness_worst': '0.1548', 'compactness_worst': '0.239', 'concavity_worst': '0.2102', 'concave points_worst': '0.08958', 'symmetry_worst': '0.3016', 'fractal_dimension_worst': '0.08523'}
{'id': '86517', 'diagnosis': 'M', 'radius_mean': '18.66', 'texture_mean': '17.12', 'perimeter_mean': '121.4', 'area_mean': '1077', 'smoothness_mean': '0.1054', 'compactness_mean': '0.11', 'concavity_mean': '0.1457', 'concave points_mean': '0.08665', 'symmetry_mean': '0.1966', 'fractal_dimension_mean': '0.06213', 'radius_se': '0.7128', 'texture_se': '1.581', 'perimeter_se': '4.895', 'area_se': '90.47', 'smoothness_se': '0.008102', 'compactness_se': '0.02101', 'concavity_se': '0.03342', 'concave points_se': '0.01601', 'symmetry_se': '0.02045', 'fractal_dimension_se': '0.00457', 'radius_worst': '22.25', 'texture_worst': '24.9', 'perimeter_worst': '145.4', 'area_worst': '1549', 'smoothness_worst': '0.1503', 'compactness_worst': '0.2291', 'concavity_worst': '0.3272', 'concave points_worst': '0.1674', 'symmetry_worst': '0.2894', 'fractal_dimension_worst': '0.08456'}
{'id': '865423', 'diagnosis': 'M', 'radius_mean': '24.25', 'texture_mean': '20.2', 'perimeter_mean': '166.2', 'area_mean': '1761', 'smoothness_mean': '0.1447', 'compactness_mean': '0.2867', 'concavity_mean': '0.4268', 'concave points_mean': '0.2012', 'symmetry_mean': '0.2655', 'fractal_dimension_mean': '0.06877', 'radius_se': '1.509', 'texture_se': '3.12', 'perimeter_se': '9.807', 'area_se': '233', 'smoothness_se': '0.02333', 'compactness_se': '0.09806', 'concavity_se': '0.1278', 'concave points_se': '0.01822', 'symmetry_se': '0.04547', 'fractal_dimension_se': '0.009875', 'radius_worst': '26.02', 'texture_worst': '23.99', 'perimeter_worst': '180.9', 'area_worst': '2073', 'smoothness_worst': '0.1696', 'compactness_worst': '0.4244', 'concavity_worst': '0.5803', 'concave points_worst': '0.2248', 'symmetry_worst': '0.3222', 'fractal_dimension_worst': '0.08009'}
{'id': '865432', 'diagnosis': 'B', 'radius_mean': '14.5', 'texture_mean': '10.89', 'perimeter_mean': '94.28', 'area_mean': '640.7', 'smoothness_mean': '0.1101', 'compactness_mean': '0.1099', 'concavity_mean': '0.08842', 'concave points_mean': '0.05778', 'symmetry_mean': '0.1856', 'fractal_dimension_mean': '0.06402', 'radius_se': '0.2929', 'texture_se': '0.857', 'perimeter_se': '1.928', 'area_se': '24.19', 'smoothness_se': '0.003818', 'compactness_se': '0.01276', 'concavity_se': '0.02882', 'concave points_se': '0.012', 'symmetry_se': '0.0191', 'fractal_dimension_se': '0.002808', 'radius_worst': '15.7', 'texture_worst': '15.98', 'perimeter_worst': '102.8', 'area_worst': '745.5', 'smoothness_worst': '0.1313', 'compactness_worst': '0.1788', 'concavity_worst': '0.256', 'concave points_worst': '0.1221', 'symmetry_worst': '0.2889', 'fractal_dimension_worst': '0.08006'}
{'id': '865468', 'diagnosis': 'B', 'radius_mean': '13.37', 'texture_mean': '16.39', 'perimeter_mean': '86.1', 'area_mean': '553.5', 'smoothness_mean': '0.07115', 'compactness_mean': '0.07325', 'concavity_mean': '0.08092', 'concave points_mean': '0.028', 'symmetry_mean': '0.1422', 'fractal_dimension_mean': '0.05823', 'radius_se': '0.1639', 'texture_se': '1.14', 'perimeter_se': '1.223', 'area_se': '14.66', 'smoothness_se': '0.005919', 'compactness_se': '0.0327', 'concavity_se': '0.04957', 'concave points_se': '0.01038', 'symmetry_se': '0.01208', 'fractal_dimension_se': '0.004076', 'radius_worst': '14.26', 'texture_worst': '22.75', 'perimeter_worst': '91.99', 'area_worst': '632.1', 'smoothness_worst': '0.1025', 'compactness_worst': '0.2531', 'concavity_worst': '0.3308', 'concave points_worst': '0.08978', 'symmetry_worst': '0.2048', 'fractal_dimension_worst': '0.07628'}
{'id': '86561', 'diagnosis': 'B', 'radius_mean': '13.85', 'texture_mean': '17.21', 'perimeter_mean': '88.44', 'area_mean': '588.7', 'smoothness_mean': '0.08785', 'compactness_mean': '0.06136', 'concavity_mean': '0.0142', 'concave points_mean': '0.01141', 'symmetry_mean': '0.1614', 'fractal_dimension_mean': '0.0589', 'radius_se': '0.2185', 'texture_se': '0.8561', 'perimeter_se': '1.495', 'area_se': '17.91', 'smoothness_se': '0.004599', 'compactness_se': '0.009169', 'concavity_se': '0.009127', 'concave points_se': '0.004814', 'symmetry_se': '0.01247', 'fractal_dimension_se': '0.001708', 'radius_worst': '15.49', 'texture_worst': '23.58', 'perimeter_worst': '100.3', 'area_worst': '725.9', 'smoothness_worst': '0.1157', 'compactness_worst': '0.135', 'concavity_worst': '0.08115', 'concave points_worst': '0.05104', 'symmetry_worst': '0.2364', 'fractal_dimension_worst': '0.07182'}
{'id': '866083', 'diagnosis': 'M', 'radius_mean': '13.61', 'texture_mean': '24.69', 'perimeter_mean': '87.76', 'area_mean': '572.6', 'smoothness_mean': '0.09258', 'compactness_mean': '0.07862', 'concavity_mean': '0.05285', 'concave points_mean': '0.03085', 'symmetry_mean': '0.1761', 'fractal_dimension_mean': '0.0613', 'radius_se': '0.231', 'texture_se': '1.005', 'perimeter_se': '1.752', 'area_se': '19.83', 'smoothness_se': '0.004088', 'compactness_se': '0.01174', 'concavity_se': '0.01796', 'concave points_se': '0.00688', 'symmetry_se': '0.01323', 'fractal_dimension_se': '0.001465', 'radius_worst': '16.89', 'texture_worst': '35.64', 'perimeter_worst': '113.2', 'area_worst': '848.7', 'smoothness_worst': '0.1471', 'compactness_worst': '0.2884', 'concavity_worst': '0.3796', 'concave points_worst': '0.1329', 'symmetry_worst': '0.347', 'fractal_dimension_worst': '0.079'}
{'id': '866203', 'diagnosis': 'M', 'radius_mean': '19', 'texture_mean': '18.91', 'perimeter_mean': '123.4', 'area_mean': '1138', 'smoothness_mean': '0.08217', 'compactness_mean': '0.08028', 'concavity_mean': '0.09271', 'concave points_mean': '0.05627', 'symmetry_mean': '0.1946', 'fractal_dimension_mean': '0.05044', 'radius_se': '0.6896', 'texture_se': '1.342', 'perimeter_se': '5.216', 'area_se': '81.23', 'smoothness_se': '0.004428', 'compactness_se': '0.02731', 'concavity_se': '0.0404', 'concave points_se': '0.01361', 'symmetry_se': '0.0203', 'fractal_dimension_se': '0.002686', 'radius_worst': '22.32', 'texture_worst': '25.73', 'perimeter_worst': '148.2', 'area_worst': '1538', 'smoothness_worst': '0.1021', 'compactness_worst': '0.2264', 'concavity_worst': '0.3207', 'concave points_worst': '0.1218', 'symmetry_worst': '0.2841', 'fractal_dimension_worst': '0.06541'}
{'id': '866458', 'diagnosis': 'B', 'radius_mean': '15.1', 'texture_mean': '16.39', 'perimeter_mean': '99.58', 'area_mean': '674.5', 'smoothness_mean': '0.115', 'compactness_mean': '0.1807', 'concavity_mean': '0.1138', 'concave points_mean': '0.08534', 'symmetry_mean': '0.2001', 'fractal_dimension_mean': '0.06467', 'radius_se': '0.4309', 'texture_se': '1.068', 'perimeter_se': '2.796', 'area_se': '39.84', 'smoothness_se': '0.009006', 'compactness_se': '0.04185', 'concavity_se': '0.03204', 'concave points_se': '0.02258', 'symmetry_se': '0.02353', 'fractal_dimension_se': '0.004984', 'radius_worst': '16.11', 'texture_worst': '18.33', 'perimeter_worst': '105.9', 'area_worst': '762.6', 'smoothness_worst': '0.1386', 'compactness_worst': '0.2883', 'concavity_worst': '0.196', 'concave points_worst': '0.1423', 'symmetry_worst': '0.259', 'fractal_dimension_worst': '0.07779'}
{'id': '866674', 'diagnosis': 'M', 'radius_mean': '19.79', 'texture_mean': '25.12', 'perimeter_mean': '130.4', 'area_mean': '1192', 'smoothness_mean': '0.1015', 'compactness_mean': '0.1589', 'concavity_mean': '0.2545', 'concave points_mean': '0.1149', 'symmetry_mean': '0.2202', 'fractal_dimension_mean': '0.06113', 'radius_se': '0.4953', 'texture_se': '1.199', 'perimeter_se': '2.765', 'area_se': '63.33', 'smoothness_se': '0.005033', 'compactness_se': '0.03179', 'concavity_se': '0.04755', 'concave points_se': '0.01043', 'symmetry_se': '0.01578', 'fractal_dimension_se': '0.003224', 'radius_worst': '22.63', 'texture_worst': '33.58', 'perimeter_worst': '148.7', 'area_worst': '1589', 'smoothness_worst': '0.1275', 'compactness_worst': '0.3861', 'concavity_worst': '0.5673', 'concave points_worst': '0.1732', 'symmetry_worst': '0.3305', 'fractal_dimension_worst': '0.08465'}
{'id': '866714', 'diagnosis': 'B', 'radius_mean': '12.19', 'texture_mean': '13.29', 'perimeter_mean': '79.08', 'area_mean': '455.8', 'smoothness_mean': '0.1066', 'compactness_mean': '0.09509', 'concavity_mean': '0.02855', 'concave points_mean': '0.02882', 'symmetry_mean': '0.188', 'fractal_dimension_mean': '0.06471', 'radius_se': '0.2005', 'texture_se': '0.8163', 'perimeter_se': '1.973', 'area_se': '15.24', 'smoothness_se': '0.006773', 'compactness_se': '0.02456', 'concavity_se': '0.01018', 'concave points_se': '0.008094', 'symmetry_se': '0.02662', 'fractal_dimension_se': '0.004143', 'radius_worst': '13.34', 'texture_worst': '17.81', 'perimeter_worst': '91.38', 'area_worst': '545.2', 'smoothness_worst': '0.1427', 'compactness_worst': '0.2585', 'concavity_worst': '0.09915', 'concave points_worst': '0.08187', 'symmetry_worst': '0.3469', 'fractal_dimension_worst': '0.09241'}
{'id': '8670', 'diagnosis': 'M', 'radius_mean': '15.46', 'texture_mean': '19.48', 'perimeter_mean': '101.7', 'area_mean': '748.9', 'smoothness_mean': '0.1092', 'compactness_mean': '0.1223', 'concavity_mean': '0.1466', 'concave points_mean': '0.08087', 'symmetry_mean': '0.1931', 'fractal_dimension_mean': '0.05796', 'radius_se': '0.4743', 'texture_se': '0.7859', 'perimeter_se': '3.094', 'area_se': '48.31', 'smoothness_se': '0.00624', 'compactness_se': '0.01484', 'concavity_se': '0.02813', 'concave points_se': '0.01093', 'symmetry_se': '0.01397', 'fractal_dimension_se': '0.002461', 'radius_worst': '19.26', 'texture_worst': '26', 'perimeter_worst': '124.9', 'area_worst': '1156', 'smoothness_worst': '0.1546', 'compactness_worst': '0.2394', 'concavity_worst': '0.3791', 'concave points_worst': '0.1514', 'symmetry_worst': '0.2837', 'fractal_dimension_worst': '0.08019'}
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{'id': '867387', 'diagnosis': 'B', 'radius_mean': '15.71', 'texture_mean': '13.93', 'perimeter_mean': '102', 'area_mean': '761.7', 'smoothness_mean': '0.09462', 'compactness_mean': '0.09462', 'concavity_mean': '0.07135', 'concave points_mean': '0.05933', 'symmetry_mean': '0.1816', 'fractal_dimension_mean': '0.05723', 'radius_se': '0.3117', 'texture_se': '0.8155', 'perimeter_se': '1.972', 'area_se': '27.94', 'smoothness_se': '0.005217', 'compactness_se': '0.01515', 'concavity_se': '0.01678', 'concave points_se': '0.01268', 'symmetry_se': '0.01669', 'fractal_dimension_se': '0.00233', 'radius_worst': '17.5', 'texture_worst': '19.25', 'perimeter_worst': '114.3', 'area_worst': '922.8', 'smoothness_worst': '0.1223', 'compactness_worst': '0.1949', 'concavity_worst': '0.1709', 'concave points_worst': '0.1374', 'symmetry_worst': '0.2723', 'fractal_dimension_worst': '0.07071'}
{'id': '867739', 'diagnosis': 'M', 'radius_mean': '18.45', 'texture_mean': '21.91', 'perimeter_mean': '120.2', 'area_mean': '1075', 'smoothness_mean': '0.0943', 'compactness_mean': '0.09709', 'concavity_mean': '0.1153', 'concave points_mean': '0.06847', 'symmetry_mean': '0.1692', 'fractal_dimension_mean': '0.05727', 'radius_se': '0.5959', 'texture_se': '1.202', 'perimeter_se': '3.766', 'area_se': '68.35', 'smoothness_se': '0.006001', 'compactness_se': '0.01422', 'concavity_se': '0.02855', 'concave points_se': '0.009148', 'symmetry_se': '0.01492', 'fractal_dimension_se': '0.002205', 'radius_worst': '22.52', 'texture_worst': '31.39', 'perimeter_worst': '145.6', 'area_worst': '1590', 'smoothness_worst': '0.1465', 'compactness_worst': '0.2275', 'concavity_worst': '0.3965', 'concave points_worst': '0.1379', 'symmetry_worst': '0.3109', 'fractal_dimension_worst': '0.0761'}
{'id': '868202', 'diagnosis': 'M', 'radius_mean': '12.77', 'texture_mean': '22.47', 'perimeter_mean': '81.72', 'area_mean': '506.3', 'smoothness_mean': '0.09055', 'compactness_mean': '0.05761', 'concavity_mean': '0.04711', 'concave points_mean': '0.02704', 'symmetry_mean': '0.1585', 'fractal_dimension_mean': '0.06065', 'radius_se': '0.2367', 'texture_se': '1.38', 'perimeter_se': '1.457', 'area_se': '19.87', 'smoothness_se': '0.007499', 'compactness_se': '0.01202', 'concavity_se': '0.02332', 'concave points_se': '0.00892', 'symmetry_se': '0.01647', 'fractal_dimension_se': '0.002629', 'radius_worst': '14.49', 'texture_worst': '33.37', 'perimeter_worst': '92.04', 'area_worst': '653.6', 'smoothness_worst': '0.1419', 'compactness_worst': '0.1523', 'concavity_worst': '0.2177', 'concave points_worst': '0.09331', 'symmetry_worst': '0.2829', 'fractal_dimension_worst': '0.08067'}
{'id': '868223', 'diagnosis': 'B', 'radius_mean': '11.71', 'texture_mean': '16.67', 'perimeter_mean': '74.72', 'area_mean': '423.6', 'smoothness_mean': '0.1051', 'compactness_mean': '0.06095', 'concavity_mean': '0.03592', 'concave points_mean': '0.026', 'symmetry_mean': '0.1339', 'fractal_dimension_mean': '0.05945', 'radius_se': '0.4489', 'texture_se': '2.508', 'perimeter_se': '3.258', 'area_se': '34.37', 'smoothness_se': '0.006578', 'compactness_se': '0.0138', 'concavity_se': '0.02662', 'concave points_se': '0.01307', 'symmetry_se': '0.01359', 'fractal_dimension_se': '0.003707', 'radius_worst': '13.33', 'texture_worst': '25.48', 'perimeter_worst': '86.16', 'area_worst': '546.7', 'smoothness_worst': '0.1271', 'compactness_worst': '0.1028', 'concavity_worst': '0.1046', 'concave points_worst': '0.06968', 'symmetry_worst': '0.1712', 'fractal_dimension_worst': '0.07343'}
{'id': '868682', 'diagnosis': 'B', 'radius_mean': '11.43', 'texture_mean': '15.39', 'perimeter_mean': '73.06', 'area_mean': '399.8', 'smoothness_mean': '0.09639', 'compactness_mean': '0.06889', 'concavity_mean': '0.03503', 'concave points_mean': '0.02875', 'symmetry_mean': '0.1734', 'fractal_dimension_mean': '0.05865', 'radius_se': '0.1759', 'texture_se': '0.9938', 'perimeter_se': '1.143', 'area_se': '12.67', 'smoothness_se': '0.005133', 'compactness_se': '0.01521', 'concavity_se': '0.01434', 'concave points_se': '0.008602', 'symmetry_se': '0.01501', 'fractal_dimension_se': '0.001588', 'radius_worst': '12.32', 'texture_worst': '22.02', 'perimeter_worst': '79.93', 'area_worst': '462', 'smoothness_worst': '0.119', 'compactness_worst': '0.1648', 'concavity_worst': '0.1399', 'concave points_worst': '0.08476', 'symmetry_worst': '0.2676', 'fractal_dimension_worst': '0.06765'}
{'id': '868826', 'diagnosis': 'M', 'radius_mean': '14.95', 'texture_mean': '17.57', 'perimeter_mean': '96.85', 'area_mean': '678.1', 'smoothness_mean': '0.1167', 'compactness_mean': '0.1305', 'concavity_mean': '0.1539', 'concave points_mean': '0.08624', 'symmetry_mean': '0.1957', 'fractal_dimension_mean': '0.06216', 'radius_se': '1.296', 'texture_se': '1.452', 'perimeter_se': '8.419', 'area_se': '101.9', 'smoothness_se': '0.01', 'compactness_se': '0.0348', 'concavity_se': '0.06577', 'concave points_se': '0.02801', 'symmetry_se': '0.05168', 'fractal_dimension_se': '0.002887', 'radius_worst': '18.55', 'texture_worst': '21.43', 'perimeter_worst': '121.4', 'area_worst': '971.4', 'smoothness_worst': '0.1411', 'compactness_worst': '0.2164', 'concavity_worst': '0.3355', 'concave points_worst': '0.1667', 'symmetry_worst': '0.3414', 'fractal_dimension_worst': '0.07147'}
{'id': '868871', 'diagnosis': 'B', 'radius_mean': '11.28', 'texture_mean': '13.39', 'perimeter_mean': '73', 'area_mean': '384.8', 'smoothness_mean': '0.1164', 'compactness_mean': '0.1136', 'concavity_mean': '0.04635', 'concave points_mean': '0.04796', 'symmetry_mean': '0.1771', 'fractal_dimension_mean': '0.06072', 'radius_se': '0.3384', 'texture_se': '1.343', 'perimeter_se': '1.851', 'area_se': '26.33', 'smoothness_se': '0.01127', 'compactness_se': '0.03498', 'concavity_se': '0.02187', 'concave points_se': '0.01965', 'symmetry_se': '0.0158', 'fractal_dimension_se': '0.003442', 'radius_worst': '11.92', 'texture_worst': '15.77', 'perimeter_worst': '76.53', 'area_worst': '434', 'smoothness_worst': '0.1367', 'compactness_worst': '0.1822', 'concavity_worst': '0.08669', 'concave points_worst': '0.08611', 'symmetry_worst': '0.2102', 'fractal_dimension_worst': '0.06784'}
{'id': '868999', 'diagnosis': 'B', 'radius_mean': '9.738', 'texture_mean': '11.97', 'perimeter_mean': '61.24', 'area_mean': '288.5', 'smoothness_mean': '0.0925', 'compactness_mean': '0.04102', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1903', 'fractal_dimension_mean': '0.06422', 'radius_se': '0.1988', 'texture_se': '0.496', 'perimeter_se': '1.218', 'area_se': '12.26', 'smoothness_se': '0.00604', 'compactness_se': '0.005656', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.02277', 'fractal_dimension_se': '0.00322', 'radius_worst': '10.62', 'texture_worst': '14.1', 'perimeter_worst': '66.53', 'area_worst': '342.9', 'smoothness_worst': '0.1234', 'compactness_worst': '0.07204', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.3105', 'fractal_dimension_worst': '0.08151'}
{'id': '869104', 'diagnosis': 'M', 'radius_mean': '16.11', 'texture_mean': '18.05', 'perimeter_mean': '105.1', 'area_mean': '813', 'smoothness_mean': '0.09721', 'compactness_mean': '0.1137', 'concavity_mean': '0.09447', 'concave points_mean': '0.05943', 'symmetry_mean': '0.1861', 'fractal_dimension_mean': '0.06248', 'radius_se': '0.7049', 'texture_se': '1.332', 'perimeter_se': '4.533', 'area_se': '74.08', 'smoothness_se': '0.00677', 'compactness_se': '0.01938', 'concavity_se': '0.03067', 'concave points_se': '0.01167', 'symmetry_se': '0.01875', 'fractal_dimension_se': '0.003434', 'radius_worst': '19.92', 'texture_worst': '25.27', 'perimeter_worst': '129', 'area_worst': '1233', 'smoothness_worst': '0.1314', 'compactness_worst': '0.2236', 'concavity_worst': '0.2802', 'concave points_worst': '0.1216', 'symmetry_worst': '0.2792', 'fractal_dimension_worst': '0.08158'}
{'id': '869218', 'diagnosis': 'B', 'radius_mean': '11.43', 'texture_mean': '17.31', 'perimeter_mean': '73.66', 'area_mean': '398', 'smoothness_mean': '0.1092', 'compactness_mean': '0.09486', 'concavity_mean': '0.02031', 'concave points_mean': '0.01861', 'symmetry_mean': '0.1645', 'fractal_dimension_mean': '0.06562', 'radius_se': '0.2843', 'texture_se': '1.908', 'perimeter_se': '1.937', 'area_se': '21.38', 'smoothness_se': '0.006664', 'compactness_se': '0.01735', 'concavity_se': '0.01158', 'concave points_se': '0.00952', 'symmetry_se': '0.02282', 'fractal_dimension_se': '0.003526', 'radius_worst': '12.78', 'texture_worst': '26.76', 'perimeter_worst': '82.66', 'area_worst': '503', 'smoothness_worst': '0.1413', 'compactness_worst': '0.1792', 'concavity_worst': '0.07708', 'concave points_worst': '0.06402', 'symmetry_worst': '0.2584', 'fractal_dimension_worst': '0.08096'}
{'id': '869224', 'diagnosis': 'B', 'radius_mean': '12.9', 'texture_mean': '15.92', 'perimeter_mean': '83.74', 'area_mean': '512.2', 'smoothness_mean': '0.08677', 'compactness_mean': '0.09509', 'concavity_mean': '0.04894', 'concave points_mean': '0.03088', 'symmetry_mean': '0.1778', 'fractal_dimension_mean': '0.06235', 'radius_se': '0.2143', 'texture_se': '0.7712', 'perimeter_se': '1.689', 'area_se': '16.64', 'smoothness_se': '0.005324', 'compactness_se': '0.01563', 'concavity_se': '0.0151', 'concave points_se': '0.007584', 'symmetry_se': '0.02104', 'fractal_dimension_se': '0.001887', 'radius_worst': '14.48', 'texture_worst': '21.82', 'perimeter_worst': '97.17', 'area_worst': '643.8', 'smoothness_worst': '0.1312', 'compactness_worst': '0.2548', 'concavity_worst': '0.209', 'concave points_worst': '0.1012', 'symmetry_worst': '0.3549', 'fractal_dimension_worst': '0.08118'}
{'id': '869254', 'diagnosis': 'B', 'radius_mean': '10.75', 'texture_mean': '14.97', 'perimeter_mean': '68.26', 'area_mean': '355.3', 'smoothness_mean': '0.07793', 'compactness_mean': '0.05139', 'concavity_mean': '0.02251', 'concave points_mean': '0.007875', 'symmetry_mean': '0.1399', 'fractal_dimension_mean': '0.05688', 'radius_se': '0.2525', 'texture_se': '1.239', 'perimeter_se': '1.806', 'area_se': '17.74', 'smoothness_se': '0.006547', 'compactness_se': '0.01781', 'concavity_se': '0.02018', 'concave points_se': '0.005612', 'symmetry_se': '0.01671', 'fractal_dimension_se': '0.00236', 'radius_worst': '11.95', 'texture_worst': '20.72', 'perimeter_worst': '77.79', 'area_worst': '441.2', 'smoothness_worst': '0.1076', 'compactness_worst': '0.1223', 'concavity_worst': '0.09755', 'concave points_worst': '0.03413', 'symmetry_worst': '0.23', 'fractal_dimension_worst': '0.06769'}
{'id': '869476', 'diagnosis': 'B', 'radius_mean': '11.9', 'texture_mean': '14.65', 'perimeter_mean': '78.11', 'area_mean': '432.8', 'smoothness_mean': '0.1152', 'compactness_mean': '0.1296', 'concavity_mean': '0.0371', 'concave points_mean': '0.03003', 'symmetry_mean': '0.1995', 'fractal_dimension_mean': '0.07839', 'radius_se': '0.3962', 'texture_se': '0.6538', 'perimeter_se': '3.021', 'area_se': '25.03', 'smoothness_se': '0.01017', 'compactness_se': '0.04741', 'concavity_se': '0.02789', 'concave points_se': '0.0111', 'symmetry_se': '0.03127', 'fractal_dimension_se': '0.009423', 'radius_worst': '13.15', 'texture_worst': '16.51', 'perimeter_worst': '86.26', 'area_worst': '509.6', 'smoothness_worst': '0.1424', 'compactness_worst': '0.2517', 'concavity_worst': '0.0942', 'concave points_worst': '0.06042', 'symmetry_worst': '0.2727', 'fractal_dimension_worst': '0.1036'}
{'id': '869691', 'diagnosis': 'M', 'radius_mean': '11.8', 'texture_mean': '16.58', 'perimeter_mean': '78.99', 'area_mean': '432', 'smoothness_mean': '0.1091', 'compactness_mean': '0.17', 'concavity_mean': '0.1659', 'concave points_mean': '0.07415', 'symmetry_mean': '0.2678', 'fractal_dimension_mean': '0.07371', 'radius_se': '0.3197', 'texture_se': '1.426', 'perimeter_se': '2.281', 'area_se': '24.72', 'smoothness_se': '0.005427', 'compactness_se': '0.03633', 'concavity_se': '0.04649', 'concave points_se': '0.01843', 'symmetry_se': '0.05628', 'fractal_dimension_se': '0.004635', 'radius_worst': '13.74', 'texture_worst': '26.38', 'perimeter_worst': '91.93', 'area_worst': '591.7', 'smoothness_worst': '0.1385', 'compactness_worst': '0.4092', 'concavity_worst': '0.4504', 'concave points_worst': '0.1865', 'symmetry_worst': '0.5774', 'fractal_dimension_worst': '0.103'}
{'id': '86973701', 'diagnosis': 'B', 'radius_mean': '14.95', 'texture_mean': '18.77', 'perimeter_mean': '97.84', 'area_mean': '689.5', 'smoothness_mean': '0.08138', 'compactness_mean': '0.1167', 'concavity_mean': '0.0905', 'concave points_mean': '0.03562', 'symmetry_mean': '0.1744', 'fractal_dimension_mean': '0.06493', 'radius_se': '0.422', 'texture_se': '1.909', 'perimeter_se': '3.271', 'area_se': '39.43', 'smoothness_se': '0.00579', 'compactness_se': '0.04877', 'concavity_se': '0.05303', 'concave points_se': '0.01527', 'symmetry_se': '0.03356', 'fractal_dimension_se': '0.009368', 'radius_worst': '16.25', 'texture_worst': '25.47', 'perimeter_worst': '107.1', 'area_worst': '809.7', 'smoothness_worst': '0.0997', 'compactness_worst': '0.2521', 'concavity_worst': '0.25', 'concave points_worst': '0.08405', 'symmetry_worst': '0.2852', 'fractal_dimension_worst': '0.09218'}
{'id': '86973702', 'diagnosis': 'B', 'radius_mean': '14.44', 'texture_mean': '15.18', 'perimeter_mean': '93.97', 'area_mean': '640.1', 'smoothness_mean': '0.0997', 'compactness_mean': '0.1021', 'concavity_mean': '0.08487', 'concave points_mean': '0.05532', 'symmetry_mean': '0.1724', 'fractal_dimension_mean': '0.06081', 'radius_se': '0.2406', 'texture_se': '0.7394', 'perimeter_se': '2.12', 'area_se': '21.2', 'smoothness_se': '0.005706', 'compactness_se': '0.02297', 'concavity_se': '0.03114', 'concave points_se': '0.01493', 'symmetry_se': '0.01454', 'fractal_dimension_se': '0.002528', 'radius_worst': '15.85', 'texture_worst': '19.85', 'perimeter_worst': '108.6', 'area_worst': '766.9', 'smoothness_worst': '0.1316', 'compactness_worst': '0.2735', 'concavity_worst': '0.3103', 'concave points_worst': '0.1599', 'symmetry_worst': '0.2691', 'fractal_dimension_worst': '0.07683'}
{'id': '869931', 'diagnosis': 'B', 'radius_mean': '13.74', 'texture_mean': '17.91', 'perimeter_mean': '88.12', 'area_mean': '585', 'smoothness_mean': '0.07944', 'compactness_mean': '0.06376', 'concavity_mean': '0.02881', 'concave points_mean': '0.01329', 'symmetry_mean': '0.1473', 'fractal_dimension_mean': '0.0558', 'radius_se': '0.25', 'texture_se': '0.7574', 'perimeter_se': '1.573', 'area_se': '21.47', 'smoothness_se': '0.002838', 'compactness_se': '0.01592', 'concavity_se': '0.0178', 'concave points_se': '0.005828', 'symmetry_se': '0.01329', 'fractal_dimension_se': '0.001976', 'radius_worst': '15.34', 'texture_worst': '22.46', 'perimeter_worst': '97.19', 'area_worst': '725.9', 'smoothness_worst': '0.09711', 'compactness_worst': '0.1824', 'concavity_worst': '0.1564', 'concave points_worst': '0.06019', 'symmetry_worst': '0.235', 'fractal_dimension_worst': '0.07014'}
{'id': '871001501', 'diagnosis': 'B', 'radius_mean': '13', 'texture_mean': '20.78', 'perimeter_mean': '83.51', 'area_mean': '519.4', 'smoothness_mean': '0.1135', 'compactness_mean': '0.07589', 'concavity_mean': '0.03136', 'concave points_mean': '0.02645', 'symmetry_mean': '0.254', 'fractal_dimension_mean': '0.06087', 'radius_se': '0.4202', 'texture_se': '1.322', 'perimeter_se': '2.873', 'area_se': '34.78', 'smoothness_se': '0.007017', 'compactness_se': '0.01142', 'concavity_se': '0.01949', 'concave points_se': '0.01153', 'symmetry_se': '0.02951', 'fractal_dimension_se': '0.001533', 'radius_worst': '14.16', 'texture_worst': '24.11', 'perimeter_worst': '90.82', 'area_worst': '616.7', 'smoothness_worst': '0.1297', 'compactness_worst': '0.1105', 'concavity_worst': '0.08112', 'concave points_worst': '0.06296', 'symmetry_worst': '0.3196', 'fractal_dimension_worst': '0.06435'}
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{'id': '8710441', 'diagnosis': 'B', 'radius_mean': '9.731', 'texture_mean': '15.34', 'perimeter_mean': '63.78', 'area_mean': '300.2', 'smoothness_mean': '0.1072', 'compactness_mean': '0.1599', 'concavity_mean': '0.4108', 'concave points_mean': '0.07857', 'symmetry_mean': '0.2548', 'fractal_dimension_mean': '0.09296', 'radius_se': '0.8245', 'texture_se': '2.664', 'perimeter_se': '4.073', 'area_se': '49.85', 'smoothness_se': '0.01097', 'compactness_se': '0.09586', 'concavity_se': '0.396', 'concave points_se': '0.05279', 'symmetry_se': '0.03546', 'fractal_dimension_se': '0.02984', 'radius_worst': '11.02', 'texture_worst': '19.49', 'perimeter_worst': '71.04', 'area_worst': '380.5', 'smoothness_worst': '0.1292', 'compactness_worst': '0.2772', 'concavity_worst': '0.8216', 'concave points_worst': '0.1571', 'symmetry_worst': '0.3108', 'fractal_dimension_worst': '0.1259'}
{'id': '87106', 'diagnosis': 'B', 'radius_mean': '11.15', 'texture_mean': '13.08', 'perimeter_mean': '70.87', 'area_mean': '381.9', 'smoothness_mean': '0.09754', 'compactness_mean': '0.05113', 'concavity_mean': '0.01982', 'concave points_mean': '0.01786', 'symmetry_mean': '0.183', 'fractal_dimension_mean': '0.06105', 'radius_se': '0.2251', 'texture_se': '0.7815', 'perimeter_se': '1.429', 'area_se': '15.48', 'smoothness_se': '0.009019', 'compactness_se': '0.008985', 'concavity_se': '0.01196', 'concave points_se': '0.008232', 'symmetry_se': '0.02388', 'fractal_dimension_se': '0.001619', 'radius_worst': '11.99', 'texture_worst': '16.3', 'perimeter_worst': '76.25', 'area_worst': '440.8', 'smoothness_worst': '0.1341', 'compactness_worst': '0.08971', 'concavity_worst': '0.07116', 'concave points_worst': '0.05506', 'symmetry_worst': '0.2859', 'fractal_dimension_worst': '0.06772'}
{'id': '8711002', 'diagnosis': 'B', 'radius_mean': '13.15', 'texture_mean': '15.34', 'perimeter_mean': '85.31', 'area_mean': '538.9', 'smoothness_mean': '0.09384', 'compactness_mean': '0.08498', 'concavity_mean': '0.09293', 'concave points_mean': '0.03483', 'symmetry_mean': '0.1822', 'fractal_dimension_mean': '0.06207', 'radius_se': '0.271', 'texture_se': '0.7927', 'perimeter_se': '1.819', 'area_se': '22.79', 'smoothness_se': '0.008584', 'compactness_se': '0.02017', 'concavity_se': '0.03047', 'concave points_se': '0.009536', 'symmetry_se': '0.02769', 'fractal_dimension_se': '0.003479', 'radius_worst': '14.77', 'texture_worst': '20.5', 'perimeter_worst': '97.67', 'area_worst': '677.3', 'smoothness_worst': '0.1478', 'compactness_worst': '0.2256', 'concavity_worst': '0.3009', 'concave points_worst': '0.09722', 'symmetry_worst': '0.3849', 'fractal_dimension_worst': '0.08633'}
{'id': '8711003', 'diagnosis': 'B', 'radius_mean': '12.25', 'texture_mean': '17.94', 'perimeter_mean': '78.27', 'area_mean': '460.3', 'smoothness_mean': '0.08654', 'compactness_mean': '0.06679', 'concavity_mean': '0.03885', 'concave points_mean': '0.02331', 'symmetry_mean': '0.197', 'fractal_dimension_mean': '0.06228', 'radius_se': '0.22', 'texture_se': '0.9823', 'perimeter_se': '1.484', 'area_se': '16.51', 'smoothness_se': '0.005518', 'compactness_se': '0.01562', 'concavity_se': '0.01994', 'concave points_se': '0.007924', 'symmetry_se': '0.01799', 'fractal_dimension_se': '0.002484', 'radius_worst': '13.59', 'texture_worst': '25.22', 'perimeter_worst': '86.6', 'area_worst': '564.2', 'smoothness_worst': '0.1217', 'compactness_worst': '0.1788', 'concavity_worst': '0.1943', 'concave points_worst': '0.08211', 'symmetry_worst': '0.3113', 'fractal_dimension_worst': '0.08132'}
{'id': '8711202', 'diagnosis': 'M', 'radius_mean': '17.68', 'texture_mean': '20.74', 'perimeter_mean': '117.4', 'area_mean': '963.7', 'smoothness_mean': '0.1115', 'compactness_mean': '0.1665', 'concavity_mean': '0.1855', 'concave points_mean': '0.1054', 'symmetry_mean': '0.1971', 'fractal_dimension_mean': '0.06166', 'radius_se': '0.8113', 'texture_se': '1.4', 'perimeter_se': '5.54', 'area_se': '93.91', 'smoothness_se': '0.009037', 'compactness_se': '0.04954', 'concavity_se': '0.05206', 'concave points_se': '0.01841', 'symmetry_se': '0.01778', 'fractal_dimension_se': '0.004968', 'radius_worst': '20.47', 'texture_worst': '25.11', 'perimeter_worst': '132.9', 'area_worst': '1302', 'smoothness_worst': '0.1418', 'compactness_worst': '0.3498', 'concavity_worst': '0.3583', 'concave points_worst': '0.1515', 'symmetry_worst': '0.2463', 'fractal_dimension_worst': '0.07738'}
{'id': '8711216', 'diagnosis': 'B', 'radius_mean': '16.84', 'texture_mean': '19.46', 'perimeter_mean': '108.4', 'area_mean': '880.2', 'smoothness_mean': '0.07445', 'compactness_mean': '0.07223', 'concavity_mean': '0.0515', 'concave points_mean': '0.02771', 'symmetry_mean': '0.1844', 'fractal_dimension_mean': '0.05268', 'radius_se': '0.4789', 'texture_se': '2.06', 'perimeter_se': '3.479', 'area_se': '46.61', 'smoothness_se': '0.003443', 'compactness_se': '0.02661', 'concavity_se': '0.03056', 'concave points_se': '0.0111', 'symmetry_se': '0.0152', 'fractal_dimension_se': '0.001519', 'radius_worst': '18.22', 'texture_worst': '28.07', 'perimeter_worst': '120.3', 'area_worst': '1032', 'smoothness_worst': '0.08774', 'compactness_worst': '0.171', 'concavity_worst': '0.1882', 'concave points_worst': '0.08436', 'symmetry_worst': '0.2527', 'fractal_dimension_worst': '0.05972'}
{'id': '871122', 'diagnosis': 'B', 'radius_mean': '12.06', 'texture_mean': '12.74', 'perimeter_mean': '76.84', 'area_mean': '448.6', 'smoothness_mean': '0.09311', 'compactness_mean': '0.05241', 'concavity_mean': '0.01972', 'concave points_mean': '0.01963', 'symmetry_mean': '0.159', 'fractal_dimension_mean': '0.05907', 'radius_se': '0.1822', 'texture_se': '0.7285', 'perimeter_se': '1.171', 'area_se': '13.25', 'smoothness_se': '0.005528', 'compactness_se': '0.009789', 'concavity_se': '0.008342', 'concave points_se': '0.006273', 'symmetry_se': '0.01465', 'fractal_dimension_se': '0.00253', 'radius_worst': '13.14', 'texture_worst': '18.41', 'perimeter_worst': '84.08', 'area_worst': '532.8', 'smoothness_worst': '0.1275', 'compactness_worst': '0.1232', 'concavity_worst': '0.08636', 'concave points_worst': '0.07025', 'symmetry_worst': '0.2514', 'fractal_dimension_worst': '0.07898'}
{'id': '871149', 'diagnosis': 'B', 'radius_mean': '10.9', 'texture_mean': '12.96', 'perimeter_mean': '68.69', 'area_mean': '366.8', 'smoothness_mean': '0.07515', 'compactness_mean': '0.03718', 'concavity_mean': '0.00309', 'concave points_mean': '0.006588', 'symmetry_mean': '0.1442', 'fractal_dimension_mean': '0.05743', 'radius_se': '0.2818', 'texture_se': '0.7614', 'perimeter_se': '1.808', 'area_se': '18.54', 'smoothness_se': '0.006142', 'compactness_se': '0.006134', 'concavity_se': '0.001835', 'concave points_se': '0.003576', 'symmetry_se': '0.01637', 'fractal_dimension_se': '0.002665', 'radius_worst': '12.36', 'texture_worst': '18.2', 'perimeter_worst': '78.07', 'area_worst': '470', 'smoothness_worst': '0.1171', 'compactness_worst': '0.08294', 'concavity_worst': '0.01854', 'concave points_worst': '0.03953', 'symmetry_worst': '0.2738', 'fractal_dimension_worst': '0.07685'}
{'id': '8711561', 'diagnosis': 'B', 'radius_mean': '11.75', 'texture_mean': '20.18', 'perimeter_mean': '76.1', 'area_mean': '419.8', 'smoothness_mean': '0.1089', 'compactness_mean': '0.1141', 'concavity_mean': '0.06843', 'concave points_mean': '0.03738', 'symmetry_mean': '0.1993', 'fractal_dimension_mean': '0.06453', 'radius_se': '0.5018', 'texture_se': '1.693', 'perimeter_se': '3.926', 'area_se': '38.34', 'smoothness_se': '0.009433', 'compactness_se': '0.02405', 'concavity_se': '0.04167', 'concave points_se': '0.01152', 'symmetry_se': '0.03397', 'fractal_dimension_se': '0.005061', 'radius_worst': '13.32', 'texture_worst': '26.21', 'perimeter_worst': '88.91', 'area_worst': '543.9', 'smoothness_worst': '0.1358', 'compactness_worst': '0.1892', 'concavity_worst': '0.1956', 'concave points_worst': '0.07909', 'symmetry_worst': '0.3168', 'fractal_dimension_worst': '0.07987'}
{'id': '8711803', 'diagnosis': 'M', 'radius_mean': '19.19', 'texture_mean': '15.94', 'perimeter_mean': '126.3', 'area_mean': '1157', 'smoothness_mean': '0.08694', 'compactness_mean': '0.1185', 'concavity_mean': '0.1193', 'concave points_mean': '0.09667', 'symmetry_mean': '0.1741', 'fractal_dimension_mean': '0.05176', 'radius_se': '1', 'texture_se': '0.6336', 'perimeter_se': '6.971', 'area_se': '119.3', 'smoothness_se': '0.009406', 'compactness_se': '0.03055', 'concavity_se': '0.04344', 'concave points_se': '0.02794', 'symmetry_se': '0.03156', 'fractal_dimension_se': '0.003362', 'radius_worst': '22.03', 'texture_worst': '17.81', 'perimeter_worst': '146.6', 'area_worst': '1495', 'smoothness_worst': '0.1124', 'compactness_worst': '0.2016', 'concavity_worst': '0.2264', 'concave points_worst': '0.1777', 'symmetry_worst': '0.2443', 'fractal_dimension_worst': '0.06251'}
{'id': '871201', 'diagnosis': 'M', 'radius_mean': '19.59', 'texture_mean': '18.15', 'perimeter_mean': '130.7', 'area_mean': '1214', 'smoothness_mean': '0.112', 'compactness_mean': '0.1666', 'concavity_mean': '0.2508', 'concave points_mean': '0.1286', 'symmetry_mean': '0.2027', 'fractal_dimension_mean': '0.06082', 'radius_se': '0.7364', 'texture_se': '1.048', 'perimeter_se': '4.792', 'area_se': '97.07', 'smoothness_se': '0.004057', 'compactness_se': '0.02277', 'concavity_se': '0.04029', 'concave points_se': '0.01303', 'symmetry_se': '0.01686', 'fractal_dimension_se': '0.003318', 'radius_worst': '26.73', 'texture_worst': '26.39', 'perimeter_worst': '174.9', 'area_worst': '2232', 'smoothness_worst': '0.1438', 'compactness_worst': '0.3846', 'concavity_worst': '0.681', 'concave points_worst': '0.2247', 'symmetry_worst': '0.3643', 'fractal_dimension_worst': '0.09223'}
{'id': '8712064', 'diagnosis': 'B', 'radius_mean': '12.34', 'texture_mean': '22.22', 'perimeter_mean': '79.85', 'area_mean': '464.5', 'smoothness_mean': '0.1012', 'compactness_mean': '0.1015', 'concavity_mean': '0.0537', 'concave points_mean': '0.02822', 'symmetry_mean': '0.1551', 'fractal_dimension_mean': '0.06761', 'radius_se': '0.2949', 'texture_se': '1.656', 'perimeter_se': '1.955', 'area_se': '21.55', 'smoothness_se': '0.01134', 'compactness_se': '0.03175', 'concavity_se': '0.03125', 'concave points_se': '0.01135', 'symmetry_se': '0.01879', 'fractal_dimension_se': '0.005348', 'radius_worst': '13.58', 'texture_worst': '28.68', 'perimeter_worst': '87.36', 'area_worst': '553', 'smoothness_worst': '0.1452', 'compactness_worst': '0.2338', 'concavity_worst': '0.1688', 'concave points_worst': '0.08194', 'symmetry_worst': '0.2268', 'fractal_dimension_worst': '0.09082'}
{'id': '8712289', 'diagnosis': 'M', 'radius_mean': '23.27', 'texture_mean': '22.04', 'perimeter_mean': '152.1', 'area_mean': '1686', 'smoothness_mean': '0.08439', 'compactness_mean': '0.1145', 'concavity_mean': '0.1324', 'concave points_mean': '0.09702', 'symmetry_mean': '0.1801', 'fractal_dimension_mean': '0.05553', 'radius_se': '0.6642', 'texture_se': '0.8561', 'perimeter_se': '4.603', 'area_se': '97.85', 'smoothness_se': '0.00491', 'compactness_se': '0.02544', 'concavity_se': '0.02822', 'concave points_se': '0.01623', 'symmetry_se': '0.01956', 'fractal_dimension_se': '0.00374', 'radius_worst': '28.01', 'texture_worst': '28.22', 'perimeter_worst': '184.2', 'area_worst': '2403', 'smoothness_worst': '0.1228', 'compactness_worst': '0.3583', 'concavity_worst': '0.3948', 'concave points_worst': '0.2346', 'symmetry_worst': '0.3589', 'fractal_dimension_worst': '0.09187'}
{'id': '8712291', 'diagnosis': 'B', 'radius_mean': '14.97', 'texture_mean': '19.76', 'perimeter_mean': '95.5', 'area_mean': '690.2', 'smoothness_mean': '0.08421', 'compactness_mean': '0.05352', 'concavity_mean': '0.01947', 'concave points_mean': '0.01939', 'symmetry_mean': '0.1515', 'fractal_dimension_mean': '0.05266', 'radius_se': '0.184', 'texture_se': '1.065', 'perimeter_se': '1.286', 'area_se': '16.64', 'smoothness_se': '0.003634', 'compactness_se': '0.007983', 'concavity_se': '0.008268', 'concave points_se': '0.006432', 'symmetry_se': '0.01924', 'fractal_dimension_se': '0.00152', 'radius_worst': '15.98', 'texture_worst': '25.82', 'perimeter_worst': '102.3', 'area_worst': '782.1', 'smoothness_worst': '0.1045', 'compactness_worst': '0.09995', 'concavity_worst': '0.0775', 'concave points_worst': '0.05754', 'symmetry_worst': '0.2646', 'fractal_dimension_worst': '0.06085'}
{'id': '87127', 'diagnosis': 'B', 'radius_mean': '10.8', 'texture_mean': '9.71', 'perimeter_mean': '68.77', 'area_mean': '357.6', 'smoothness_mean': '0.09594', 'compactness_mean': '0.05736', 'concavity_mean': '0.02531', 'concave points_mean': '0.01698', 'symmetry_mean': '0.1381', 'fractal_dimension_mean': '0.064', 'radius_se': '0.1728', 'texture_se': '0.4064', 'perimeter_se': '1.126', 'area_se': '11.48', 'smoothness_se': '0.007809', 'compactness_se': '0.009816', 'concavity_se': '0.01099', 'concave points_se': '0.005344', 'symmetry_se': '0.01254', 'fractal_dimension_se': '0.00212', 'radius_worst': '11.6', 'texture_worst': '12.02', 'perimeter_worst': '73.66', 'area_worst': '414', 'smoothness_worst': '0.1436', 'compactness_worst': '0.1257', 'concavity_worst': '0.1047', 'concave points_worst': '0.04603', 'symmetry_worst': '0.209', 'fractal_dimension_worst': '0.07699'}
{'id': '8712729', 'diagnosis': 'M', 'radius_mean': '16.78', 'texture_mean': '18.8', 'perimeter_mean': '109.3', 'area_mean': '886.3', 'smoothness_mean': '0.08865', 'compactness_mean': '0.09182', 'concavity_mean': '0.08422', 'concave points_mean': '0.06576', 'symmetry_mean': '0.1893', 'fractal_dimension_mean': '0.05534', 'radius_se': '0.599', 'texture_se': '1.391', 'perimeter_se': '4.129', 'area_se': '67.34', 'smoothness_se': '0.006123', 'compactness_se': '0.0247', 'concavity_se': '0.02626', 'concave points_se': '0.01604', 'symmetry_se': '0.02091', 'fractal_dimension_se': '0.003493', 'radius_worst': '20.05', 'texture_worst': '26.3', 'perimeter_worst': '130.7', 'area_worst': '1260', 'smoothness_worst': '0.1168', 'compactness_worst': '0.2119', 'concavity_worst': '0.2318', 'concave points_worst': '0.1474', 'symmetry_worst': '0.281', 'fractal_dimension_worst': '0.07228'}
{'id': '8712766', 'diagnosis': 'M', 'radius_mean': '17.47', 'texture_mean': '24.68', 'perimeter_mean': '116.1', 'area_mean': '984.6', 'smoothness_mean': '0.1049', 'compactness_mean': '0.1603', 'concavity_mean': '0.2159', 'concave points_mean': '0.1043', 'symmetry_mean': '0.1538', 'fractal_dimension_mean': '0.06365', 'radius_se': '1.088', 'texture_se': '1.41', 'perimeter_se': '7.337', 'area_se': '122.3', 'smoothness_se': '0.006174', 'compactness_se': '0.03634', 'concavity_se': '0.04644', 'concave points_se': '0.01569', 'symmetry_se': '0.01145', 'fractal_dimension_se': '0.00512', 'radius_worst': '23.14', 'texture_worst': '32.33', 'perimeter_worst': '155.3', 'area_worst': '1660', 'smoothness_worst': '0.1376', 'compactness_worst': '0.383', 'concavity_worst': '0.489', 'concave points_worst': '0.1721', 'symmetry_worst': '0.216', 'fractal_dimension_worst': '0.093'}
{'id': '8712853', 'diagnosis': 'B', 'radius_mean': '14.97', 'texture_mean': '16.95', 'perimeter_mean': '96.22', 'area_mean': '685.9', 'smoothness_mean': '0.09855', 'compactness_mean': '0.07885', 'concavity_mean': '0.02602', 'concave points_mean': '0.03781', 'symmetry_mean': '0.178', 'fractal_dimension_mean': '0.0565', 'radius_se': '0.2713', 'texture_se': '1.217', 'perimeter_se': '1.893', 'area_se': '24.28', 'smoothness_se': '0.00508', 'compactness_se': '0.0137', 'concavity_se': '0.007276', 'concave points_se': '0.009073', 'symmetry_se': '0.0135', 'fractal_dimension_se': '0.001706', 'radius_worst': '16.11', 'texture_worst': '23', 'perimeter_worst': '104.6', 'area_worst': '793.7', 'smoothness_worst': '0.1216', 'compactness_worst': '0.1637', 'concavity_worst': '0.06648', 'concave points_worst': '0.08485', 'symmetry_worst': '0.2404', 'fractal_dimension_worst': '0.06428'}
{'id': '87139402', 'diagnosis': 'B', 'radius_mean': '12.32', 'texture_mean': '12.39', 'perimeter_mean': '78.85', 'area_mean': '464.1', 'smoothness_mean': '0.1028', 'compactness_mean': '0.06981', 'concavity_mean': '0.03987', 'concave points_mean': '0.037', 'symmetry_mean': '0.1959', 'fractal_dimension_mean': '0.05955', 'radius_se': '0.236', 'texture_se': '0.6656', 'perimeter_se': '1.67', 'area_se': '17.43', 'smoothness_se': '0.008045', 'compactness_se': '0.0118', 'concavity_se': '0.01683', 'concave points_se': '0.01241', 'symmetry_se': '0.01924', 'fractal_dimension_se': '0.002248', 'radius_worst': '13.5', 'texture_worst': '15.64', 'perimeter_worst': '86.97', 'area_worst': '549.1', 'smoothness_worst': '0.1385', 'compactness_worst': '0.1266', 'concavity_worst': '0.1242', 'concave points_worst': '0.09391', 'symmetry_worst': '0.2827', 'fractal_dimension_worst': '0.06771'}
{'id': '87163', 'diagnosis': 'M', 'radius_mean': '13.43', 'texture_mean': '19.63', 'perimeter_mean': '85.84', 'area_mean': '565.4', 'smoothness_mean': '0.09048', 'compactness_mean': '0.06288', 'concavity_mean': '0.05858', 'concave points_mean': '0.03438', 'symmetry_mean': '0.1598', 'fractal_dimension_mean': '0.05671', 'radius_se': '0.4697', 'texture_se': '1.147', 'perimeter_se': '3.142', 'area_se': '43.4', 'smoothness_se': '0.006003', 'compactness_se': '0.01063', 'concavity_se': '0.02151', 'concave points_se': '0.009443', 'symmetry_se': '0.0152', 'fractal_dimension_se': '0.001868', 'radius_worst': '17.98', 'texture_worst': '29.87', 'perimeter_worst': '116.6', 'area_worst': '993.6', 'smoothness_worst': '0.1401', 'compactness_worst': '0.1546', 'concavity_worst': '0.2644', 'concave points_worst': '0.116', 'symmetry_worst': '0.2884', 'fractal_dimension_worst': '0.07371'}
{'id': '87164', 'diagnosis': 'M', 'radius_mean': '15.46', 'texture_mean': '11.89', 'perimeter_mean': '102.5', 'area_mean': '736.9', 'smoothness_mean': '0.1257', 'compactness_mean': '0.1555', 'concavity_mean': '0.2032', 'concave points_mean': '0.1097', 'symmetry_mean': '0.1966', 'fractal_dimension_mean': '0.07069', 'radius_se': '0.4209', 'texture_se': '0.6583', 'perimeter_se': '2.805', 'area_se': '44.64', 'smoothness_se': '0.005393', 'compactness_se': '0.02321', 'concavity_se': '0.04303', 'concave points_se': '0.0132', 'symmetry_se': '0.01792', 'fractal_dimension_se': '0.004168', 'radius_worst': '18.79', 'texture_worst': '17.04', 'perimeter_worst': '125', 'area_worst': '1102', 'smoothness_worst': '0.1531', 'compactness_worst': '0.3583', 'concavity_worst': '0.583', 'concave points_worst': '0.1827', 'symmetry_worst': '0.3216', 'fractal_dimension_worst': '0.101'}
{'id': '871641', 'diagnosis': 'B', 'radius_mean': '11.08', 'texture_mean': '14.71', 'perimeter_mean': '70.21', 'area_mean': '372.7', 'smoothness_mean': '0.1006', 'compactness_mean': '0.05743', 'concavity_mean': '0.02363', 'concave points_mean': '0.02583', 'symmetry_mean': '0.1566', 'fractal_dimension_mean': '0.06669', 'radius_se': '0.2073', 'texture_se': '1.805', 'perimeter_se': '1.377', 'area_se': '19.08', 'smoothness_se': '0.01496', 'compactness_se': '0.02121', 'concavity_se': '0.01453', 'concave points_se': '0.01583', 'symmetry_se': '0.03082', 'fractal_dimension_se': '0.004785', 'radius_worst': '11.35', 'texture_worst': '16.82', 'perimeter_worst': '72.01', 'area_worst': '396.5', 'smoothness_worst': '0.1216', 'compactness_worst': '0.0824', 'concavity_worst': '0.03938', 'concave points_worst': '0.04306', 'symmetry_worst': '0.1902', 'fractal_dimension_worst': '0.07313'}
{'id': '871642', 'diagnosis': 'B', 'radius_mean': '10.66', 'texture_mean': '15.15', 'perimeter_mean': '67.49', 'area_mean': '349.6', 'smoothness_mean': '0.08792', 'compactness_mean': '0.04302', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1928', 'fractal_dimension_mean': '0.05975', 'radius_se': '0.3309', 'texture_se': '1.925', 'perimeter_se': '2.155', 'area_se': '21.98', 'smoothness_se': '0.008713', 'compactness_se': '0.01017', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.03265', 'fractal_dimension_se': '0.001002', 'radius_worst': '11.54', 'texture_worst': '19.2', 'perimeter_worst': '73.2', 'area_worst': '408.3', 'smoothness_worst': '0.1076', 'compactness_worst': '0.06791', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.271', 'fractal_dimension_worst': '0.06164'}
{'id': '872113', 'diagnosis': 'B', 'radius_mean': '8.671', 'texture_mean': '14.45', 'perimeter_mean': '54.42', 'area_mean': '227.2', 'smoothness_mean': '0.09138', 'compactness_mean': '0.04276', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1722', 'fractal_dimension_mean': '0.06724', 'radius_se': '0.2204', 'texture_se': '0.7873', 'perimeter_se': '1.435', 'area_se': '11.36', 'smoothness_se': '0.009172', 'compactness_se': '0.008007', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.02711', 'fractal_dimension_se': '0.003399', 'radius_worst': '9.262', 'texture_worst': '17.04', 'perimeter_worst': '58.36', 'area_worst': '259.2', 'smoothness_worst': '0.1162', 'compactness_worst': '0.07057', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.2592', 'fractal_dimension_worst': '0.07848'}
{'id': '872608', 'diagnosis': 'B', 'radius_mean': '9.904', 'texture_mean': '18.06', 'perimeter_mean': '64.6', 'area_mean': '302.4', 'smoothness_mean': '0.09699', 'compactness_mean': '0.1294', 'concavity_mean': '0.1307', 'concave points_mean': '0.03716', 'symmetry_mean': '0.1669', 'fractal_dimension_mean': '0.08116', 'radius_se': '0.4311', 'texture_se': '2.261', 'perimeter_se': '3.132', 'area_se': '27.48', 'smoothness_se': '0.01286', 'compactness_se': '0.08808', 'concavity_se': '0.1197', 'concave points_se': '0.0246', 'symmetry_se': '0.0388', 'fractal_dimension_se': '0.01792', 'radius_worst': '11.26', 'texture_worst': '24.39', 'perimeter_worst': '73.07', 'area_worst': '390.2', 'smoothness_worst': '0.1301', 'compactness_worst': '0.295', 'concavity_worst': '0.3486', 'concave points_worst': '0.0991', 'symmetry_worst': '0.2614', 'fractal_dimension_worst': '0.1162'}
{'id': '87281702', 'diagnosis': 'M', 'radius_mean': '16.46', 'texture_mean': '20.11', 'perimeter_mean': '109.3', 'area_mean': '832.9', 'smoothness_mean': '0.09831', 'compactness_mean': '0.1556', 'concavity_mean': '0.1793', 'concave points_mean': '0.08866', 'symmetry_mean': '0.1794', 'fractal_dimension_mean': '0.06323', 'radius_se': '0.3037', 'texture_se': '1.284', 'perimeter_se': '2.482', 'area_se': '31.59', 'smoothness_se': '0.006627', 'compactness_se': '0.04094', 'concavity_se': '0.05371', 'concave points_se': '0.01813', 'symmetry_se': '0.01682', 'fractal_dimension_se': '0.004584', 'radius_worst': '17.79', 'texture_worst': '28.45', 'perimeter_worst': '123.5', 'area_worst': '981.2', 'smoothness_worst': '0.1415', 'compactness_worst': '0.4667', 'concavity_worst': '0.5862', 'concave points_worst': '0.2035', 'symmetry_worst': '0.3054', 'fractal_dimension_worst': '0.09519'}
{'id': '873357', 'diagnosis': 'B', 'radius_mean': '13.01', 'texture_mean': '22.22', 'perimeter_mean': '82.01', 'area_mean': '526.4', 'smoothness_mean': '0.06251', 'compactness_mean': '0.01938', 'concavity_mean': '0.001595', 'concave points_mean': '0.001852', 'symmetry_mean': '0.1395', 'fractal_dimension_mean': '0.05234', 'radius_se': '0.1731', 'texture_se': '1.142', 'perimeter_se': '1.101', 'area_se': '14.34', 'smoothness_se': '0.003418', 'compactness_se': '0.002252', 'concavity_se': '0.001595', 'concave points_se': '0.001852', 'symmetry_se': '0.01613', 'fractal_dimension_se': '0.0009683', 'radius_worst': '14', 'texture_worst': '29.02', 'perimeter_worst': '88.18', 'area_worst': '608.8', 'smoothness_worst': '0.08125', 'compactness_worst': '0.03432', 'concavity_worst': '0.007977', 'concave points_worst': '0.009259', 'symmetry_worst': '0.2295', 'fractal_dimension_worst': '0.05843'}
{'id': '873586', 'diagnosis': 'B', 'radius_mean': '12.81', 'texture_mean': '13.06', 'perimeter_mean': '81.29', 'area_mean': '508.8', 'smoothness_mean': '0.08739', 'compactness_mean': '0.03774', 'concavity_mean': '0.009193', 'concave points_mean': '0.0133', 'symmetry_mean': '0.1466', 'fractal_dimension_mean': '0.06133', 'radius_se': '0.2889', 'texture_se': '0.9899', 'perimeter_se': '1.778', 'area_se': '21.79', 'smoothness_se': '0.008534', 'compactness_se': '0.006364', 'concavity_se': '0.00618', 'concave points_se': '0.007408', 'symmetry_se': '0.01065', 'fractal_dimension_se': '0.003351', 'radius_worst': '13.63', 'texture_worst': '16.15', 'perimeter_worst': '86.7', 'area_worst': '570.7', 'smoothness_worst': '0.1162', 'compactness_worst': '0.05445', 'concavity_worst': '0.02758', 'concave points_worst': '0.0399', 'symmetry_worst': '0.1783', 'fractal_dimension_worst': '0.07319'}
{'id': '873592', 'diagnosis': 'M', 'radius_mean': '27.22', 'texture_mean': '21.87', 'perimeter_mean': '182.1', 'area_mean': '2250', 'smoothness_mean': '0.1094', 'compactness_mean': '0.1914', 'concavity_mean': '0.2871', 'concave points_mean': '0.1878', 'symmetry_mean': '0.18', 'fractal_dimension_mean': '0.0577', 'radius_se': '0.8361', 'texture_se': '1.481', 'perimeter_se': '5.82', 'area_se': '128.7', 'smoothness_se': '0.004631', 'compactness_se': '0.02537', 'concavity_se': '0.03109', 'concave points_se': '0.01241', 'symmetry_se': '0.01575', 'fractal_dimension_se': '0.002747', 'radius_worst': '33.12', 'texture_worst': '32.85', 'perimeter_worst': '220.8', 'area_worst': '3216', 'smoothness_worst': '0.1472', 'compactness_worst': '0.4034', 'concavity_worst': '0.534', 'concave points_worst': '0.2688', 'symmetry_worst': '0.2856', 'fractal_dimension_worst': '0.08082'}
{'id': '873593', 'diagnosis': 'M', 'radius_mean': '21.09', 'texture_mean': '26.57', 'perimeter_mean': '142.7', 'area_mean': '1311', 'smoothness_mean': '0.1141', 'compactness_mean': '0.2832', 'concavity_mean': '0.2487', 'concave points_mean': '0.1496', 'symmetry_mean': '0.2395', 'fractal_dimension_mean': '0.07398', 'radius_se': '0.6298', 'texture_se': '0.7629', 'perimeter_se': '4.414', 'area_se': '81.46', 'smoothness_se': '0.004253', 'compactness_se': '0.04759', 'concavity_se': '0.03872', 'concave points_se': '0.01567', 'symmetry_se': '0.01798', 'fractal_dimension_se': '0.005295', 'radius_worst': '26.68', 'texture_worst': '33.48', 'perimeter_worst': '176.5', 'area_worst': '2089', 'smoothness_worst': '0.1491', 'compactness_worst': '0.7584', 'concavity_worst': '0.678', 'concave points_worst': '0.2903', 'symmetry_worst': '0.4098', 'fractal_dimension_worst': '0.1284'}
{'id': '873701', 'diagnosis': 'M', 'radius_mean': '15.7', 'texture_mean': '20.31', 'perimeter_mean': '101.2', 'area_mean': '766.6', 'smoothness_mean': '0.09597', 'compactness_mean': '0.08799', 'concavity_mean': '0.06593', 'concave points_mean': '0.05189', 'symmetry_mean': '0.1618', 'fractal_dimension_mean': '0.05549', 'radius_se': '0.3699', 'texture_se': '1.15', 'perimeter_se': '2.406', 'area_se': '40.98', 'smoothness_se': '0.004626', 'compactness_se': '0.02263', 'concavity_se': '0.01954', 'concave points_se': '0.009767', 'symmetry_se': '0.01547', 'fractal_dimension_se': '0.00243', 'radius_worst': '20.11', 'texture_worst': '32.82', 'perimeter_worst': '129.3', 'area_worst': '1269', 'smoothness_worst': '0.1414', 'compactness_worst': '0.3547', 'concavity_worst': '0.2902', 'concave points_worst': '0.1541', 'symmetry_worst': '0.3437', 'fractal_dimension_worst': '0.08631'}
{'id': '873843', 'diagnosis': 'B', 'radius_mean': '11.41', 'texture_mean': '14.92', 'perimeter_mean': '73.53', 'area_mean': '402', 'smoothness_mean': '0.09059', 'compactness_mean': '0.08155', 'concavity_mean': '0.06181', 'concave points_mean': '0.02361', 'symmetry_mean': '0.1167', 'fractal_dimension_mean': '0.06217', 'radius_se': '0.3344', 'texture_se': '1.108', 'perimeter_se': '1.902', 'area_se': '22.77', 'smoothness_se': '0.007356', 'compactness_se': '0.03728', 'concavity_se': '0.05915', 'concave points_se': '0.01712', 'symmetry_se': '0.02165', 'fractal_dimension_se': '0.004784', 'radius_worst': '12.37', 'texture_worst': '17.7', 'perimeter_worst': '79.12', 'area_worst': '467.2', 'smoothness_worst': '0.1121', 'compactness_worst': '0.161', 'concavity_worst': '0.1648', 'concave points_worst': '0.06296', 'symmetry_worst': '0.1811', 'fractal_dimension_worst': '0.07427'}
{'id': '873885', 'diagnosis': 'M', 'radius_mean': '15.28', 'texture_mean': '22.41', 'perimeter_mean': '98.92', 'area_mean': '710.6', 'smoothness_mean': '0.09057', 'compactness_mean': '0.1052', 'concavity_mean': '0.05375', 'concave points_mean': '0.03263', 'symmetry_mean': '0.1727', 'fractal_dimension_mean': '0.06317', 'radius_se': '0.2054', 'texture_se': '0.4956', 'perimeter_se': '1.344', 'area_se': '19.53', 'smoothness_se': '0.00329', 'compactness_se': '0.01395', 'concavity_se': '0.01774', 'concave points_se': '0.006009', 'symmetry_se': '0.01172', 'fractal_dimension_se': '0.002575', 'radius_worst': '17.8', 'texture_worst': '28.03', 'perimeter_worst': '113.8', 'area_worst': '973.1', 'smoothness_worst': '0.1301', 'compactness_worst': '0.3299', 'concavity_worst': '0.363', 'concave points_worst': '0.1226', 'symmetry_worst': '0.3175', 'fractal_dimension_worst': '0.09772'}
{'id': '874158', 'diagnosis': 'B', 'radius_mean': '10.08', 'texture_mean': '15.11', 'perimeter_mean': '63.76', 'area_mean': '317.5', 'smoothness_mean': '0.09267', 'compactness_mean': '0.04695', 'concavity_mean': '0.001597', 'concave points_mean': '0.002404', 'symmetry_mean': '0.1703', 'fractal_dimension_mean': '0.06048', 'radius_se': '0.4245', 'texture_se': '1.268', 'perimeter_se': '2.68', 'area_se': '26.43', 'smoothness_se': '0.01439', 'compactness_se': '0.012', 'concavity_se': '0.001597', 'concave points_se': '0.002404', 'symmetry_se': '0.02538', 'fractal_dimension_se': '0.00347', 'radius_worst': '11.87', 'texture_worst': '21.18', 'perimeter_worst': '75.39', 'area_worst': '437', 'smoothness_worst': '0.1521', 'compactness_worst': '0.1019', 'concavity_worst': '0.00692', 'concave points_worst': '0.01042', 'symmetry_worst': '0.2933', 'fractal_dimension_worst': '0.07697'}
{'id': '874217', 'diagnosis': 'M', 'radius_mean': '18.31', 'texture_mean': '18.58', 'perimeter_mean': '118.6', 'area_mean': '1041', 'smoothness_mean': '0.08588', 'compactness_mean': '0.08468', 'concavity_mean': '0.08169', 'concave points_mean': '0.05814', 'symmetry_mean': '0.1621', 'fractal_dimension_mean': '0.05425', 'radius_se': '0.2577', 'texture_se': '0.4757', 'perimeter_se': '1.817', 'area_se': '28.92', 'smoothness_se': '0.002866', 'compactness_se': '0.009181', 'concavity_se': '0.01412', 'concave points_se': '0.006719', 'symmetry_se': '0.01069', 'fractal_dimension_se': '0.001087', 'radius_worst': '21.31', 'texture_worst': '26.36', 'perimeter_worst': '139.2', 'area_worst': '1410', 'smoothness_worst': '0.1234', 'compactness_worst': '0.2445', 'concavity_worst': '0.3538', 'concave points_worst': '0.1571', 'symmetry_worst': '0.3206', 'fractal_dimension_worst': '0.06938'}
{'id': '874373', 'diagnosis': 'B', 'radius_mean': '11.71', 'texture_mean': '17.19', 'perimeter_mean': '74.68', 'area_mean': '420.3', 'smoothness_mean': '0.09774', 'compactness_mean': '0.06141', 'concavity_mean': '0.03809', 'concave points_mean': '0.03239', 'symmetry_mean': '0.1516', 'fractal_dimension_mean': '0.06095', 'radius_se': '0.2451', 'texture_se': '0.7655', 'perimeter_se': '1.742', 'area_se': '17.86', 'smoothness_se': '0.006905', 'compactness_se': '0.008704', 'concavity_se': '0.01978', 'concave points_se': '0.01185', 'symmetry_se': '0.01897', 'fractal_dimension_se': '0.001671', 'radius_worst': '13.01', 'texture_worst': '21.39', 'perimeter_worst': '84.42', 'area_worst': '521.5', 'smoothness_worst': '0.1323', 'compactness_worst': '0.104', 'concavity_worst': '0.1521', 'concave points_worst': '0.1099', 'symmetry_worst': '0.2572', 'fractal_dimension_worst': '0.07097'}
{'id': '874662', 'diagnosis': 'B', 'radius_mean': '11.81', 'texture_mean': '17.39', 'perimeter_mean': '75.27', 'area_mean': '428.9', 'smoothness_mean': '0.1007', 'compactness_mean': '0.05562', 'concavity_mean': '0.02353', 'concave points_mean': '0.01553', 'symmetry_mean': '0.1718', 'fractal_dimension_mean': '0.0578', 'radius_se': '0.1859', 'texture_se': '1.926', 'perimeter_se': '1.011', 'area_se': '14.47', 'smoothness_se': '0.007831', 'compactness_se': '0.008776', 'concavity_se': '0.01556', 'concave points_se': '0.00624', 'symmetry_se': '0.03139', 'fractal_dimension_se': '0.001988', 'radius_worst': '12.57', 'texture_worst': '26.48', 'perimeter_worst': '79.57', 'area_worst': '489.5', 'smoothness_worst': '0.1356', 'compactness_worst': '0.1', 'concavity_worst': '0.08803', 'concave points_worst': '0.04306', 'symmetry_worst': '0.32', 'fractal_dimension_worst': '0.06576'}
{'id': '874839', 'diagnosis': 'B', 'radius_mean': '12.3', 'texture_mean': '15.9', 'perimeter_mean': '78.83', 'area_mean': '463.7', 'smoothness_mean': '0.0808', 'compactness_mean': '0.07253', 'concavity_mean': '0.03844', 'concave points_mean': '0.01654', 'symmetry_mean': '0.1667', 'fractal_dimension_mean': '0.05474', 'radius_se': '0.2382', 'texture_se': '0.8355', 'perimeter_se': '1.687', 'area_se': '18.32', 'smoothness_se': '0.005996', 'compactness_se': '0.02212', 'concavity_se': '0.02117', 'concave points_se': '0.006433', 'symmetry_se': '0.02025', 'fractal_dimension_se': '0.001725', 'radius_worst': '13.35', 'texture_worst': '19.59', 'perimeter_worst': '86.65', 'area_worst': '546.7', 'smoothness_worst': '0.1096', 'compactness_worst': '0.165', 'concavity_worst': '0.1423', 'concave points_worst': '0.04815', 'symmetry_worst': '0.2482', 'fractal_dimension_worst': '0.06306'}
{'id': '874858', 'diagnosis': 'M', 'radius_mean': '14.22', 'texture_mean': '23.12', 'perimeter_mean': '94.37', 'area_mean': '609.9', 'smoothness_mean': '0.1075', 'compactness_mean': '0.2413', 'concavity_mean': '0.1981', 'concave points_mean': '0.06618', 'symmetry_mean': '0.2384', 'fractal_dimension_mean': '0.07542', 'radius_se': '0.286', 'texture_se': '2.11', 'perimeter_se': '2.112', 'area_se': '31.72', 'smoothness_se': '0.00797', 'compactness_se': '0.1354', 'concavity_se': '0.1166', 'concave points_se': '0.01666', 'symmetry_se': '0.05113', 'fractal_dimension_se': '0.01172', 'radius_worst': '15.74', 'texture_worst': '37.18', 'perimeter_worst': '106.4', 'area_worst': '762.4', 'smoothness_worst': '0.1533', 'compactness_worst': '0.9327', 'concavity_worst': '0.8488', 'concave points_worst': '0.1772', 'symmetry_worst': '0.5166', 'fractal_dimension_worst': '0.1446'}
{'id': '875093', 'diagnosis': 'B', 'radius_mean': '12.77', 'texture_mean': '21.41', 'perimeter_mean': '82.02', 'area_mean': '507.4', 'smoothness_mean': '0.08749', 'compactness_mean': '0.06601', 'concavity_mean': '0.03112', 'concave points_mean': '0.02864', 'symmetry_mean': '0.1694', 'fractal_dimension_mean': '0.06287', 'radius_se': '0.7311', 'texture_se': '1.748', 'perimeter_se': '5.118', 'area_se': '53.65', 'smoothness_se': '0.004571', 'compactness_se': '0.0179', 'concavity_se': '0.02176', 'concave points_se': '0.01757', 'symmetry_se': '0.03373', 'fractal_dimension_se': '0.005875', 'radius_worst': '13.75', 'texture_worst': '23.5', 'perimeter_worst': '89.04', 'area_worst': '579.5', 'smoothness_worst': '0.09388', 'compactness_worst': '0.08978', 'concavity_worst': '0.05186', 'concave points_worst': '0.04773', 'symmetry_worst': '0.2179', 'fractal_dimension_worst': '0.06871'}
{'id': '875099', 'diagnosis': 'B', 'radius_mean': '9.72', 'texture_mean': '18.22', 'perimeter_mean': '60.73', 'area_mean': '288.1', 'smoothness_mean': '0.0695', 'compactness_mean': '0.02344', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1653', 'fractal_dimension_mean': '0.06447', 'radius_se': '0.3539', 'texture_se': '4.885', 'perimeter_se': '2.23', 'area_se': '21.69', 'smoothness_se': '0.001713', 'compactness_se': '0.006736', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.03799', 'fractal_dimension_se': '0.001688', 'radius_worst': '9.968', 'texture_worst': '20.83', 'perimeter_worst': '62.25', 'area_worst': '303.8', 'smoothness_worst': '0.07117', 'compactness_worst': '0.02729', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.1909', 'fractal_dimension_worst': '0.06559'}
{'id': '875263', 'diagnosis': 'M', 'radius_mean': '12.34', 'texture_mean': '26.86', 'perimeter_mean': '81.15', 'area_mean': '477.4', 'smoothness_mean': '0.1034', 'compactness_mean': '0.1353', 'concavity_mean': '0.1085', 'concave points_mean': '0.04562', 'symmetry_mean': '0.1943', 'fractal_dimension_mean': '0.06937', 'radius_se': '0.4053', 'texture_se': '1.809', 'perimeter_se': '2.642', 'area_se': '34.44', 'smoothness_se': '0.009098', 'compactness_se': '0.03845', 'concavity_se': '0.03763', 'concave points_se': '0.01321', 'symmetry_se': '0.01878', 'fractal_dimension_se': '0.005672', 'radius_worst': '15.65', 'texture_worst': '39.34', 'perimeter_worst': '101.7', 'area_worst': '768.9', 'smoothness_worst': '0.1785', 'compactness_worst': '0.4706', 'concavity_worst': '0.4425', 'concave points_worst': '0.1459', 'symmetry_worst': '0.3215', 'fractal_dimension_worst': '0.1205'}
{'id': '87556202', 'diagnosis': 'M', 'radius_mean': '14.86', 'texture_mean': '23.21', 'perimeter_mean': '100.4', 'area_mean': '671.4', 'smoothness_mean': '0.1044', 'compactness_mean': '0.198', 'concavity_mean': '0.1697', 'concave points_mean': '0.08878', 'symmetry_mean': '0.1737', 'fractal_dimension_mean': '0.06672', 'radius_se': '0.2796', 'texture_se': '0.9622', 'perimeter_se': '3.591', 'area_se': '25.2', 'smoothness_se': '0.008081', 'compactness_se': '0.05122', 'concavity_se': '0.05551', 'concave points_se': '0.01883', 'symmetry_se': '0.02545', 'fractal_dimension_se': '0.004312', 'radius_worst': '16.08', 'texture_worst': '27.78', 'perimeter_worst': '118.6', 'area_worst': '784.7', 'smoothness_worst': '0.1316', 'compactness_worst': '0.4648', 'concavity_worst': '0.4589', 'concave points_worst': '0.1727', 'symmetry_worst': '0.3', 'fractal_dimension_worst': '0.08701'}
{'id': '875878', 'diagnosis': 'B', 'radius_mean': '12.91', 'texture_mean': '16.33', 'perimeter_mean': '82.53', 'area_mean': '516.4', 'smoothness_mean': '0.07941', 'compactness_mean': '0.05366', 'concavity_mean': '0.03873', 'concave points_mean': '0.02377', 'symmetry_mean': '0.1829', 'fractal_dimension_mean': '0.05667', 'radius_se': '0.1942', 'texture_se': '0.9086', 'perimeter_se': '1.493', 'area_se': '15.75', 'smoothness_se': '0.005298', 'compactness_se': '0.01587', 'concavity_se': '0.02321', 'concave points_se': '0.00842', 'symmetry_se': '0.01853', 'fractal_dimension_se': '0.002152', 'radius_worst': '13.88', 'texture_worst': '22', 'perimeter_worst': '90.81', 'area_worst': '600.6', 'smoothness_worst': '0.1097', 'compactness_worst': '0.1506', 'concavity_worst': '0.1764', 'concave points_worst': '0.08235', 'symmetry_worst': '0.3024', 'fractal_dimension_worst': '0.06949'}
{'id': '875938', 'diagnosis': 'M', 'radius_mean': '13.77', 'texture_mean': '22.29', 'perimeter_mean': '90.63', 'area_mean': '588.9', 'smoothness_mean': '0.12', 'compactness_mean': '0.1267', 'concavity_mean': '0.1385', 'concave points_mean': '0.06526', 'symmetry_mean': '0.1834', 'fractal_dimension_mean': '0.06877', 'radius_se': '0.6191', 'texture_se': '2.112', 'perimeter_se': '4.906', 'area_se': '49.7', 'smoothness_se': '0.0138', 'compactness_se': '0.03348', 'concavity_se': '0.04665', 'concave points_se': '0.0206', 'symmetry_se': '0.02689', 'fractal_dimension_se': '0.004306', 'radius_worst': '16.39', 'texture_worst': '34.01', 'perimeter_worst': '111.6', 'area_worst': '806.9', 'smoothness_worst': '0.1737', 'compactness_worst': '0.3122', 'concavity_worst': '0.3809', 'concave points_worst': '0.1673', 'symmetry_worst': '0.308', 'fractal_dimension_worst': '0.09333'}
{'id': '877159', 'diagnosis': 'M', 'radius_mean': '18.08', 'texture_mean': '21.84', 'perimeter_mean': '117.4', 'area_mean': '1024', 'smoothness_mean': '0.07371', 'compactness_mean': '0.08642', 'concavity_mean': '0.1103', 'concave points_mean': '0.05778', 'symmetry_mean': '0.177', 'fractal_dimension_mean': '0.0534', 'radius_se': '0.6362', 'texture_se': '1.305', 'perimeter_se': '4.312', 'area_se': '76.36', 'smoothness_se': '0.00553', 'compactness_se': '0.05296', 'concavity_se': '0.0611', 'concave points_se': '0.01444', 'symmetry_se': '0.0214', 'fractal_dimension_se': '0.005036', 'radius_worst': '19.76', 'texture_worst': '24.7', 'perimeter_worst': '129.1', 'area_worst': '1228', 'smoothness_worst': '0.08822', 'compactness_worst': '0.1963', 'concavity_worst': '0.2535', 'concave points_worst': '0.09181', 'symmetry_worst': '0.2369', 'fractal_dimension_worst': '0.06558'}
{'id': '877486', 'diagnosis': 'M', 'radius_mean': '19.18', 'texture_mean': '22.49', 'perimeter_mean': '127.5', 'area_mean': '1148', 'smoothness_mean': '0.08523', 'compactness_mean': '0.1428', 'concavity_mean': '0.1114', 'concave points_mean': '0.06772', 'symmetry_mean': '0.1767', 'fractal_dimension_mean': '0.05529', 'radius_se': '0.4357', 'texture_se': '1.073', 'perimeter_se': '3.833', 'area_se': '54.22', 'smoothness_se': '0.005524', 'compactness_se': '0.03698', 'concavity_se': '0.02706', 'concave points_se': '0.01221', 'symmetry_se': '0.01415', 'fractal_dimension_se': '0.003397', 'radius_worst': '23.36', 'texture_worst': '32.06', 'perimeter_worst': '166.4', 'area_worst': '1688', 'smoothness_worst': '0.1322', 'compactness_worst': '0.5601', 'concavity_worst': '0.3865', 'concave points_worst': '0.1708', 'symmetry_worst': '0.3193', 'fractal_dimension_worst': '0.09221'}
{'id': '877500', 'diagnosis': 'M', 'radius_mean': '14.45', 'texture_mean': '20.22', 'perimeter_mean': '94.49', 'area_mean': '642.7', 'smoothness_mean': '0.09872', 'compactness_mean': '0.1206', 'concavity_mean': '0.118', 'concave points_mean': '0.0598', 'symmetry_mean': '0.195', 'fractal_dimension_mean': '0.06466', 'radius_se': '0.2092', 'texture_se': '0.6509', 'perimeter_se': '1.446', 'area_se': '19.42', 'smoothness_se': '0.004044', 'compactness_se': '0.01597', 'concavity_se': '0.02', 'concave points_se': '0.007303', 'symmetry_se': '0.01522', 'fractal_dimension_se': '0.001976', 'radius_worst': '18.33', 'texture_worst': '30.12', 'perimeter_worst': '117.9', 'area_worst': '1044', 'smoothness_worst': '0.1552', 'compactness_worst': '0.4056', 'concavity_worst': '0.4967', 'concave points_worst': '0.1838', 'symmetry_worst': '0.4753', 'fractal_dimension_worst': '0.1013'}
{'id': '877501', 'diagnosis': 'B', 'radius_mean': '12.23', 'texture_mean': '19.56', 'perimeter_mean': '78.54', 'area_mean': '461', 'smoothness_mean': '0.09586', 'compactness_mean': '0.08087', 'concavity_mean': '0.04187', 'concave points_mean': '0.04107', 'symmetry_mean': '0.1979', 'fractal_dimension_mean': '0.06013', 'radius_se': '0.3534', 'texture_se': '1.326', 'perimeter_se': '2.308', 'area_se': '27.24', 'smoothness_se': '0.007514', 'compactness_se': '0.01779', 'concavity_se': '0.01401', 'concave points_se': '0.0114', 'symmetry_se': '0.01503', 'fractal_dimension_se': '0.003338', 'radius_worst': '14.44', 'texture_worst': '28.36', 'perimeter_worst': '92.15', 'area_worst': '638.4', 'smoothness_worst': '0.1429', 'compactness_worst': '0.2042', 'concavity_worst': '0.1377', 'concave points_worst': '0.108', 'symmetry_worst': '0.2668', 'fractal_dimension_worst': '0.08174'}
{'id': '877989', 'diagnosis': 'M', 'radius_mean': '17.54', 'texture_mean': '19.32', 'perimeter_mean': '115.1', 'area_mean': '951.6', 'smoothness_mean': '0.08968', 'compactness_mean': '0.1198', 'concavity_mean': '0.1036', 'concave points_mean': '0.07488', 'symmetry_mean': '0.1506', 'fractal_dimension_mean': '0.05491', 'radius_se': '0.3971', 'texture_se': '0.8282', 'perimeter_se': '3.088', 'area_se': '40.73', 'smoothness_se': '0.00609', 'compactness_se': '0.02569', 'concavity_se': '0.02713', 'concave points_se': '0.01345', 'symmetry_se': '0.01594', 'fractal_dimension_se': '0.002658', 'radius_worst': '20.42', 'texture_worst': '25.84', 'perimeter_worst': '139.5', 'area_worst': '1239', 'smoothness_worst': '0.1381', 'compactness_worst': '0.342', 'concavity_worst': '0.3508', 'concave points_worst': '0.1939', 'symmetry_worst': '0.2928', 'fractal_dimension_worst': '0.07867'}
{'id': '878796', 'diagnosis': 'M', 'radius_mean': '23.29', 'texture_mean': '26.67', 'perimeter_mean': '158.9', 'area_mean': '1685', 'smoothness_mean': '0.1141', 'compactness_mean': '0.2084', 'concavity_mean': '0.3523', 'concave points_mean': '0.162', 'symmetry_mean': '0.22', 'fractal_dimension_mean': '0.06229', 'radius_se': '0.5539', 'texture_se': '1.56', 'perimeter_se': '4.667', 'area_se': '83.16', 'smoothness_se': '0.009327', 'compactness_se': '0.05121', 'concavity_se': '0.08958', 'concave points_se': '0.02465', 'symmetry_se': '0.02175', 'fractal_dimension_se': '0.005195', 'radius_worst': '25.12', 'texture_worst': '32.68', 'perimeter_worst': '177', 'area_worst': '1986', 'smoothness_worst': '0.1536', 'compactness_worst': '0.4167', 'concavity_worst': '0.7892', 'concave points_worst': '0.2733', 'symmetry_worst': '0.3198', 'fractal_dimension_worst': '0.08762'}
{'id': '87880', 'diagnosis': 'M', 'radius_mean': '13.81', 'texture_mean': '23.75', 'perimeter_mean': '91.56', 'area_mean': '597.8', 'smoothness_mean': '0.1323', 'compactness_mean': '0.1768', 'concavity_mean': '0.1558', 'concave points_mean': '0.09176', 'symmetry_mean': '0.2251', 'fractal_dimension_mean': '0.07421', 'radius_se': '0.5648', 'texture_se': '1.93', 'perimeter_se': '3.909', 'area_se': '52.72', 'smoothness_se': '0.008824', 'compactness_se': '0.03108', 'concavity_se': '0.03112', 'concave points_se': '0.01291', 'symmetry_se': '0.01998', 'fractal_dimension_se': '0.004506', 'radius_worst': '19.2', 'texture_worst': '41.85', 'perimeter_worst': '128.5', 'area_worst': '1153', 'smoothness_worst': '0.2226', 'compactness_worst': '0.5209', 'concavity_worst': '0.4646', 'concave points_worst': '0.2013', 'symmetry_worst': '0.4432', 'fractal_dimension_worst': '0.1086'}
{'id': '87930', 'diagnosis': 'B', 'radius_mean': '12.47', 'texture_mean': '18.6', 'perimeter_mean': '81.09', 'area_mean': '481.9', 'smoothness_mean': '0.09965', 'compactness_mean': '0.1058', 'concavity_mean': '0.08005', 'concave points_mean': '0.03821', 'symmetry_mean': '0.1925', 'fractal_dimension_mean': '0.06373', 'radius_se': '0.3961', 'texture_se': '1.044', 'perimeter_se': '2.497', 'area_se': '30.29', 'smoothness_se': '0.006953', 'compactness_se': '0.01911', 'concavity_se': '0.02701', 'concave points_se': '0.01037', 'symmetry_se': '0.01782', 'fractal_dimension_se': '0.003586', 'radius_worst': '14.97', 'texture_worst': '24.64', 'perimeter_worst': '96.05', 'area_worst': '677.9', 'smoothness_worst': '0.1426', 'compactness_worst': '0.2378', 'concavity_worst': '0.2671', 'concave points_worst': '0.1015', 'symmetry_worst': '0.3014', 'fractal_dimension_worst': '0.0875'}
{'id': '879523', 'diagnosis': 'M', 'radius_mean': '15.12', 'texture_mean': '16.68', 'perimeter_mean': '98.78', 'area_mean': '716.6', 'smoothness_mean': '0.08876', 'compactness_mean': '0.09588', 'concavity_mean': '0.0755', 'concave points_mean': '0.04079', 'symmetry_mean': '0.1594', 'fractal_dimension_mean': '0.05986', 'radius_se': '0.2711', 'texture_se': '0.3621', 'perimeter_se': '1.974', 'area_se': '26.44', 'smoothness_se': '0.005472', 'compactness_se': '0.01919', 'concavity_se': '0.02039', 'concave points_se': '0.00826', 'symmetry_se': '0.01523', 'fractal_dimension_se': '0.002881', 'radius_worst': '17.77', 'texture_worst': '20.24', 'perimeter_worst': '117.7', 'area_worst': '989.5', 'smoothness_worst': '0.1491', 'compactness_worst': '0.3331', 'concavity_worst': '0.3327', 'concave points_worst': '0.1252', 'symmetry_worst': '0.3415', 'fractal_dimension_worst': '0.0974'}
{'id': '879804', 'diagnosis': 'B', 'radius_mean': '9.876', 'texture_mean': '17.27', 'perimeter_mean': '62.92', 'area_mean': '295.4', 'smoothness_mean': '0.1089', 'compactness_mean': '0.07232', 'concavity_mean': '0.01756', 'concave points_mean': '0.01952', 'symmetry_mean': '0.1934', 'fractal_dimension_mean': '0.06285', 'radius_se': '0.2137', 'texture_se': '1.342', 'perimeter_se': '1.517', 'area_se': '12.33', 'smoothness_se': '0.009719', 'compactness_se': '0.01249', 'concavity_se': '0.007975', 'concave points_se': '0.007527', 'symmetry_se': '0.0221', 'fractal_dimension_se': '0.002472', 'radius_worst': '10.42', 'texture_worst': '23.22', 'perimeter_worst': '67.08', 'area_worst': '331.6', 'smoothness_worst': '0.1415', 'compactness_worst': '0.1247', 'concavity_worst': '0.06213', 'concave points_worst': '0.05588', 'symmetry_worst': '0.2989', 'fractal_dimension_worst': '0.0738'}
{'id': '879830', 'diagnosis': 'M', 'radius_mean': '17.01', 'texture_mean': '20.26', 'perimeter_mean': '109.7', 'area_mean': '904.3', 'smoothness_mean': '0.08772', 'compactness_mean': '0.07304', 'concavity_mean': '0.0695', 'concave points_mean': '0.0539', 'symmetry_mean': '0.2026', 'fractal_dimension_mean': '0.05223', 'radius_se': '0.5858', 'texture_se': '0.8554', 'perimeter_se': '4.106', 'area_se': '68.46', 'smoothness_se': '0.005038', 'compactness_se': '0.01503', 'concavity_se': '0.01946', 'concave points_se': '0.01123', 'symmetry_se': '0.02294', 'fractal_dimension_se': '0.002581', 'radius_worst': '19.8', 'texture_worst': '25.05', 'perimeter_worst': '130', 'area_worst': '1210', 'smoothness_worst': '0.1111', 'compactness_worst': '0.1486', 'concavity_worst': '0.1932', 'concave points_worst': '0.1096', 'symmetry_worst': '0.3275', 'fractal_dimension_worst': '0.06469'}
{'id': '8810158', 'diagnosis': 'B', 'radius_mean': '13.11', 'texture_mean': '22.54', 'perimeter_mean': '87.02', 'area_mean': '529.4', 'smoothness_mean': '0.1002', 'compactness_mean': '0.1483', 'concavity_mean': '0.08705', 'concave points_mean': '0.05102', 'symmetry_mean': '0.185', 'fractal_dimension_mean': '0.0731', 'radius_se': '0.1931', 'texture_se': '0.9223', 'perimeter_se': '1.491', 'area_se': '15.09', 'smoothness_se': '0.005251', 'compactness_se': '0.03041', 'concavity_se': '0.02526', 'concave points_se': '0.008304', 'symmetry_se': '0.02514', 'fractal_dimension_se': '0.004198', 'radius_worst': '14.55', 'texture_worst': '29.16', 'perimeter_worst': '99.48', 'area_worst': '639.3', 'smoothness_worst': '0.1349', 'compactness_worst': '0.4402', 'concavity_worst': '0.3162', 'concave points_worst': '0.1126', 'symmetry_worst': '0.4128', 'fractal_dimension_worst': '0.1076'}
{'id': '8810436', 'diagnosis': 'B', 'radius_mean': '15.27', 'texture_mean': '12.91', 'perimeter_mean': '98.17', 'area_mean': '725.5', 'smoothness_mean': '0.08182', 'compactness_mean': '0.0623', 'concavity_mean': '0.05892', 'concave points_mean': '0.03157', 'symmetry_mean': '0.1359', 'fractal_dimension_mean': '0.05526', 'radius_se': '0.2134', 'texture_se': '0.3628', 'perimeter_se': '1.525', 'area_se': '20', 'smoothness_se': '0.004291', 'compactness_se': '0.01236', 'concavity_se': '0.01841', 'concave points_se': '0.007373', 'symmetry_se': '0.009539', 'fractal_dimension_se': '0.001656', 'radius_worst': '17.38', 'texture_worst': '15.92', 'perimeter_worst': '113.7', 'area_worst': '932.7', 'smoothness_worst': '0.1222', 'compactness_worst': '0.2186', 'concavity_worst': '0.2962', 'concave points_worst': '0.1035', 'symmetry_worst': '0.232', 'fractal_dimension_worst': '0.07474'}
{'id': '881046502', 'diagnosis': 'M', 'radius_mean': '20.58', 'texture_mean': '22.14', 'perimeter_mean': '134.7', 'area_mean': '1290', 'smoothness_mean': '0.0909', 'compactness_mean': '0.1348', 'concavity_mean': '0.164', 'concave points_mean': '0.09561', 'symmetry_mean': '0.1765', 'fractal_dimension_mean': '0.05024', 'radius_se': '0.8601', 'texture_se': '1.48', 'perimeter_se': '7.029', 'area_se': '111.7', 'smoothness_se': '0.008124', 'compactness_se': '0.03611', 'concavity_se': '0.05489', 'concave points_se': '0.02765', 'symmetry_se': '0.03176', 'fractal_dimension_se': '0.002365', 'radius_worst': '23.24', 'texture_worst': '27.84', 'perimeter_worst': '158.3', 'area_worst': '1656', 'smoothness_worst': '0.1178', 'compactness_worst': '0.292', 'concavity_worst': '0.3861', 'concave points_worst': '0.192', 'symmetry_worst': '0.2909', 'fractal_dimension_worst': '0.05865'}
{'id': '8810528', 'diagnosis': 'B', 'radius_mean': '11.84', 'texture_mean': '18.94', 'perimeter_mean': '75.51', 'area_mean': '428', 'smoothness_mean': '0.08871', 'compactness_mean': '0.069', 'concavity_mean': '0.02669', 'concave points_mean': '0.01393', 'symmetry_mean': '0.1533', 'fractal_dimension_mean': '0.06057', 'radius_se': '0.2222', 'texture_se': '0.8652', 'perimeter_se': '1.444', 'area_se': '17.12', 'smoothness_se': '0.005517', 'compactness_se': '0.01727', 'concavity_se': '0.02045', 'concave points_se': '0.006747', 'symmetry_se': '0.01616', 'fractal_dimension_se': '0.002922', 'radius_worst': '13.3', 'texture_worst': '24.99', 'perimeter_worst': '85.22', 'area_worst': '546.3', 'smoothness_worst': '0.128', 'compactness_worst': '0.188', 'concavity_worst': '0.1471', 'concave points_worst': '0.06913', 'symmetry_worst': '0.2535', 'fractal_dimension_worst': '0.07993'}
{'id': '8810703', 'diagnosis': 'M', 'radius_mean': '28.11', 'texture_mean': '18.47', 'perimeter_mean': '188.5', 'area_mean': '2499', 'smoothness_mean': '0.1142', 'compactness_mean': '0.1516', 'concavity_mean': '0.3201', 'concave points_mean': '0.1595', 'symmetry_mean': '0.1648', 'fractal_dimension_mean': '0.05525', 'radius_se': '2.873', 'texture_se': '1.476', 'perimeter_se': '21.98', 'area_se': '525.6', 'smoothness_se': '0.01345', 'compactness_se': '0.02772', 'concavity_se': '0.06389', 'concave points_se': '0.01407', 'symmetry_se': '0.04783', 'fractal_dimension_se': '0.004476', 'radius_worst': '28.11', 'texture_worst': '18.47', 'perimeter_worst': '188.5', 'area_worst': '2499', 'smoothness_worst': '0.1142', 'compactness_worst': '0.1516', 'concavity_worst': '0.3201', 'concave points_worst': '0.1595', 'symmetry_worst': '0.1648', 'fractal_dimension_worst': '0.05525'}
{'id': '881094802', 'diagnosis': 'M', 'radius_mean': '17.42', 'texture_mean': '25.56', 'perimeter_mean': '114.5', 'area_mean': '948', 'smoothness_mean': '0.1006', 'compactness_mean': '0.1146', 'concavity_mean': '0.1682', 'concave points_mean': '0.06597', 'symmetry_mean': '0.1308', 'fractal_dimension_mean': '0.05866', 'radius_se': '0.5296', 'texture_se': '1.667', 'perimeter_se': '3.767', 'area_se': '58.53', 'smoothness_se': '0.03113', 'compactness_se': '0.08555', 'concavity_se': '0.1438', 'concave points_se': '0.03927', 'symmetry_se': '0.02175', 'fractal_dimension_se': '0.01256', 'radius_worst': '18.07', 'texture_worst': '28.07', 'perimeter_worst': '120.4', 'area_worst': '1021', 'smoothness_worst': '0.1243', 'compactness_worst': '0.1793', 'concavity_worst': '0.2803', 'concave points_worst': '0.1099', 'symmetry_worst': '0.1603', 'fractal_dimension_worst': '0.06818'}
{'id': '8810955', 'diagnosis': 'M', 'radius_mean': '14.19', 'texture_mean': '23.81', 'perimeter_mean': '92.87', 'area_mean': '610.7', 'smoothness_mean': '0.09463', 'compactness_mean': '0.1306', 'concavity_mean': '0.1115', 'concave points_mean': '0.06462', 'symmetry_mean': '0.2235', 'fractal_dimension_mean': '0.06433', 'radius_se': '0.4207', 'texture_se': '1.845', 'perimeter_se': '3.534', 'area_se': '31', 'smoothness_se': '0.01088', 'compactness_se': '0.0371', 'concavity_se': '0.03688', 'concave points_se': '0.01627', 'symmetry_se': '0.04499', 'fractal_dimension_se': '0.004768', 'radius_worst': '16.86', 'texture_worst': '34.85', 'perimeter_worst': '115', 'area_worst': '811.3', 'smoothness_worst': '0.1559', 'compactness_worst': '0.4059', 'concavity_worst': '0.3744', 'concave points_worst': '0.1772', 'symmetry_worst': '0.4724', 'fractal_dimension_worst': '0.1026'}
{'id': '8810987', 'diagnosis': 'M', 'radius_mean': '13.86', 'texture_mean': '16.93', 'perimeter_mean': '90.96', 'area_mean': '578.9', 'smoothness_mean': '0.1026', 'compactness_mean': '0.1517', 'concavity_mean': '0.09901', 'concave points_mean': '0.05602', 'symmetry_mean': '0.2106', 'fractal_dimension_mean': '0.06916', 'radius_se': '0.2563', 'texture_se': '1.194', 'perimeter_se': '1.933', 'area_se': '22.69', 'smoothness_se': '0.00596', 'compactness_se': '0.03438', 'concavity_se': '0.03909', 'concave points_se': '0.01435', 'symmetry_se': '0.01939', 'fractal_dimension_se': '0.00456', 'radius_worst': '15.75', 'texture_worst': '26.93', 'perimeter_worst': '104.4', 'area_worst': '750.1', 'smoothness_worst': '0.146', 'compactness_worst': '0.437', 'concavity_worst': '0.4636', 'concave points_worst': '0.1654', 'symmetry_worst': '0.363', 'fractal_dimension_worst': '0.1059'}
{'id': '8811523', 'diagnosis': 'B', 'radius_mean': '11.89', 'texture_mean': '18.35', 'perimeter_mean': '77.32', 'area_mean': '432.2', 'smoothness_mean': '0.09363', 'compactness_mean': '0.1154', 'concavity_mean': '0.06636', 'concave points_mean': '0.03142', 'symmetry_mean': '0.1967', 'fractal_dimension_mean': '0.06314', 'radius_se': '0.2963', 'texture_se': '1.563', 'perimeter_se': '2.087', 'area_se': '21.46', 'smoothness_se': '0.008872', 'compactness_se': '0.04192', 'concavity_se': '0.05946', 'concave points_se': '0.01785', 'symmetry_se': '0.02793', 'fractal_dimension_se': '0.004775', 'radius_worst': '13.25', 'texture_worst': '27.1', 'perimeter_worst': '86.2', 'area_worst': '531.2', 'smoothness_worst': '0.1405', 'compactness_worst': '0.3046', 'concavity_worst': '0.2806', 'concave points_worst': '0.1138', 'symmetry_worst': '0.3397', 'fractal_dimension_worst': '0.08365'}
{'id': '8811779', 'diagnosis': 'B', 'radius_mean': '10.2', 'texture_mean': '17.48', 'perimeter_mean': '65.05', 'area_mean': '321.2', 'smoothness_mean': '0.08054', 'compactness_mean': '0.05907', 'concavity_mean': '0.05774', 'concave points_mean': '0.01071', 'symmetry_mean': '0.1964', 'fractal_dimension_mean': '0.06315', 'radius_se': '0.3567', 'texture_se': '1.922', 'perimeter_se': '2.747', 'area_se': '22.79', 'smoothness_se': '0.00468', 'compactness_se': '0.0312', 'concavity_se': '0.05774', 'concave points_se': '0.01071', 'symmetry_se': '0.0256', 'fractal_dimension_se': '0.004613', 'radius_worst': '11.48', 'texture_worst': '24.47', 'perimeter_worst': '75.4', 'area_worst': '403.7', 'smoothness_worst': '0.09527', 'compactness_worst': '0.1397', 'concavity_worst': '0.1925', 'concave points_worst': '0.03571', 'symmetry_worst': '0.2868', 'fractal_dimension_worst': '0.07809'}
{'id': '8811842', 'diagnosis': 'M', 'radius_mean': '19.8', 'texture_mean': '21.56', 'perimeter_mean': '129.7', 'area_mean': '1230', 'smoothness_mean': '0.09383', 'compactness_mean': '0.1306', 'concavity_mean': '0.1272', 'concave points_mean': '0.08691', 'symmetry_mean': '0.2094', 'fractal_dimension_mean': '0.05581', 'radius_se': '0.9553', 'texture_se': '1.186', 'perimeter_se': '6.487', 'area_se': '124.4', 'smoothness_se': '0.006804', 'compactness_se': '0.03169', 'concavity_se': '0.03446', 'concave points_se': '0.01712', 'symmetry_se': '0.01897', 'fractal_dimension_se': '0.004045', 'radius_worst': '25.73', 'texture_worst': '28.64', 'perimeter_worst': '170.3', 'area_worst': '2009', 'smoothness_worst': '0.1353', 'compactness_worst': '0.3235', 'concavity_worst': '0.3617', 'concave points_worst': '0.182', 'symmetry_worst': '0.307', 'fractal_dimension_worst': '0.08255'}
{'id': '88119002', 'diagnosis': 'M', 'radius_mean': '19.53', 'texture_mean': '32.47', 'perimeter_mean': '128', 'area_mean': '1223', 'smoothness_mean': '0.0842', 'compactness_mean': '0.113', 'concavity_mean': '0.1145', 'concave points_mean': '0.06637', 'symmetry_mean': '0.1428', 'fractal_dimension_mean': '0.05313', 'radius_se': '0.7392', 'texture_se': '1.321', 'perimeter_se': '4.722', 'area_se': '109.9', 'smoothness_se': '0.005539', 'compactness_se': '0.02644', 'concavity_se': '0.02664', 'concave points_se': '0.01078', 'symmetry_se': '0.01332', 'fractal_dimension_se': '0.002256', 'radius_worst': '27.9', 'texture_worst': '45.41', 'perimeter_worst': '180.2', 'area_worst': '2477', 'smoothness_worst': '0.1408', 'compactness_worst': '0.4097', 'concavity_worst': '0.3995', 'concave points_worst': '0.1625', 'symmetry_worst': '0.2713', 'fractal_dimension_worst': '0.07568'}
{'id': '8812816', 'diagnosis': 'B', 'radius_mean': '13.65', 'texture_mean': '13.16', 'perimeter_mean': '87.88', 'area_mean': '568.9', 'smoothness_mean': '0.09646', 'compactness_mean': '0.08711', 'concavity_mean': '0.03888', 'concave points_mean': '0.02563', 'symmetry_mean': '0.136', 'fractal_dimension_mean': '0.06344', 'radius_se': '0.2102', 'texture_se': '0.4336', 'perimeter_se': '1.391', 'area_se': '17.4', 'smoothness_se': '0.004133', 'compactness_se': '0.01695', 'concavity_se': '0.01652', 'concave points_se': '0.006659', 'symmetry_se': '0.01371', 'fractal_dimension_se': '0.002735', 'radius_worst': '15.34', 'texture_worst': '16.35', 'perimeter_worst': '99.71', 'area_worst': '706.2', 'smoothness_worst': '0.1311', 'compactness_worst': '0.2474', 'concavity_worst': '0.1759', 'concave points_worst': '0.08056', 'symmetry_worst': '0.238', 'fractal_dimension_worst': '0.08718'}
{'id': '8812818', 'diagnosis': 'B', 'radius_mean': '13.56', 'texture_mean': '13.9', 'perimeter_mean': '88.59', 'area_mean': '561.3', 'smoothness_mean': '0.1051', 'compactness_mean': '0.1192', 'concavity_mean': '0.0786', 'concave points_mean': '0.04451', 'symmetry_mean': '0.1962', 'fractal_dimension_mean': '0.06303', 'radius_se': '0.2569', 'texture_se': '0.4981', 'perimeter_se': '2.011', 'area_se': '21.03', 'smoothness_se': '0.005851', 'compactness_se': '0.02314', 'concavity_se': '0.02544', 'concave points_se': '0.00836', 'symmetry_se': '0.01842', 'fractal_dimension_se': '0.002918', 'radius_worst': '14.98', 'texture_worst': '17.13', 'perimeter_worst': '101.1', 'area_worst': '686.6', 'smoothness_worst': '0.1376', 'compactness_worst': '0.2698', 'concavity_worst': '0.2577', 'concave points_worst': '0.0909', 'symmetry_worst': '0.3065', 'fractal_dimension_worst': '0.08177'}
{'id': '8812844', 'diagnosis': 'B', 'radius_mean': '10.18', 'texture_mean': '17.53', 'perimeter_mean': '65.12', 'area_mean': '313.1', 'smoothness_mean': '0.1061', 'compactness_mean': '0.08502', 'concavity_mean': '0.01768', 'concave points_mean': '0.01915', 'symmetry_mean': '0.191', 'fractal_dimension_mean': '0.06908', 'radius_se': '0.2467', 'texture_se': '1.217', 'perimeter_se': '1.641', 'area_se': '15.05', 'smoothness_se': '0.007899', 'compactness_se': '0.014', 'concavity_se': '0.008534', 'concave points_se': '0.007624', 'symmetry_se': '0.02637', 'fractal_dimension_se': '0.003761', 'radius_worst': '11.17', 'texture_worst': '22.84', 'perimeter_worst': '71.94', 'area_worst': '375.6', 'smoothness_worst': '0.1406', 'compactness_worst': '0.144', 'concavity_worst': '0.06572', 'concave points_worst': '0.05575', 'symmetry_worst': '0.3055', 'fractal_dimension_worst': '0.08797'}
{'id': '8812877', 'diagnosis': 'M', 'radius_mean': '15.75', 'texture_mean': '20.25', 'perimeter_mean': '102.6', 'area_mean': '761.3', 'smoothness_mean': '0.1025', 'compactness_mean': '0.1204', 'concavity_mean': '0.1147', 'concave points_mean': '0.06462', 'symmetry_mean': '0.1935', 'fractal_dimension_mean': '0.06303', 'radius_se': '0.3473', 'texture_se': '0.9209', 'perimeter_se': '2.244', 'area_se': '32.19', 'smoothness_se': '0.004766', 'compactness_se': '0.02374', 'concavity_se': '0.02384', 'concave points_se': '0.008637', 'symmetry_se': '0.01772', 'fractal_dimension_se': '0.003131', 'radius_worst': '19.56', 'texture_worst': '30.29', 'perimeter_worst': '125.9', 'area_worst': '1088', 'smoothness_worst': '0.1552', 'compactness_worst': '0.448', 'concavity_worst': '0.3976', 'concave points_worst': '0.1479', 'symmetry_worst': '0.3993', 'fractal_dimension_worst': '0.1064'}
{'id': '8813129', 'diagnosis': 'B', 'radius_mean': '13.27', 'texture_mean': '17.02', 'perimeter_mean': '84.55', 'area_mean': '546.4', 'smoothness_mean': '0.08445', 'compactness_mean': '0.04994', 'concavity_mean': '0.03554', 'concave points_mean': '0.02456', 'symmetry_mean': '0.1496', 'fractal_dimension_mean': '0.05674', 'radius_se': '0.2927', 'texture_se': '0.8907', 'perimeter_se': '2.044', 'area_se': '24.68', 'smoothness_se': '0.006032', 'compactness_se': '0.01104', 'concavity_se': '0.02259', 'concave points_se': '0.009057', 'symmetry_se': '0.01482', 'fractal_dimension_se': '0.002496', 'radius_worst': '15.14', 'texture_worst': '23.6', 'perimeter_worst': '98.84', 'area_worst': '708.8', 'smoothness_worst': '0.1276', 'compactness_worst': '0.1311', 'concavity_worst': '0.1786', 'concave points_worst': '0.09678', 'symmetry_worst': '0.2506', 'fractal_dimension_worst': '0.07623'}
{'id': '88143502', 'diagnosis': 'B', 'radius_mean': '14.34', 'texture_mean': '13.47', 'perimeter_mean': '92.51', 'area_mean': '641.2', 'smoothness_mean': '0.09906', 'compactness_mean': '0.07624', 'concavity_mean': '0.05724', 'concave points_mean': '0.04603', 'symmetry_mean': '0.2075', 'fractal_dimension_mean': '0.05448', 'radius_se': '0.522', 'texture_se': '0.8121', 'perimeter_se': '3.763', 'area_se': '48.29', 'smoothness_se': '0.007089', 'compactness_se': '0.01428', 'concavity_se': '0.0236', 'concave points_se': '0.01286', 'symmetry_se': '0.02266', 'fractal_dimension_se': '0.001463', 'radius_worst': '16.77', 'texture_worst': '16.9', 'perimeter_worst': '110.4', 'area_worst': '873.2', 'smoothness_worst': '0.1297', 'compactness_worst': '0.1525', 'concavity_worst': '0.1632', 'concave points_worst': '0.1087', 'symmetry_worst': '0.3062', 'fractal_dimension_worst': '0.06072'}
{'id': '88147101', 'diagnosis': 'B', 'radius_mean': '10.44', 'texture_mean': '15.46', 'perimeter_mean': '66.62', 'area_mean': '329.6', 'smoothness_mean': '0.1053', 'compactness_mean': '0.07722', 'concavity_mean': '0.006643', 'concave points_mean': '0.01216', 'symmetry_mean': '0.1788', 'fractal_dimension_mean': '0.0645', 'radius_se': '0.1913', 'texture_se': '0.9027', 'perimeter_se': '1.208', 'area_se': '11.86', 'smoothness_se': '0.006513', 'compactness_se': '0.008061', 'concavity_se': '0.002817', 'concave points_se': '0.004972', 'symmetry_se': '0.01502', 'fractal_dimension_se': '0.002821', 'radius_worst': '11.52', 'texture_worst': '19.8', 'perimeter_worst': '73.47', 'area_worst': '395.4', 'smoothness_worst': '0.1341', 'compactness_worst': '0.1153', 'concavity_worst': '0.02639', 'concave points_worst': '0.04464', 'symmetry_worst': '0.2615', 'fractal_dimension_worst': '0.08269'}
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{'id': '88147202', 'diagnosis': 'B', 'radius_mean': '12.62', 'texture_mean': '23.97', 'perimeter_mean': '81.35', 'area_mean': '496.4', 'smoothness_mean': '0.07903', 'compactness_mean': '0.07529', 'concavity_mean': '0.05438', 'concave points_mean': '0.02036', 'symmetry_mean': '0.1514', 'fractal_dimension_mean': '0.06019', 'radius_se': '0.2449', 'texture_se': '1.066', 'perimeter_se': '1.445', 'area_se': '18.51', 'smoothness_se': '0.005169', 'compactness_se': '0.02294', 'concavity_se': '0.03016', 'concave points_se': '0.008691', 'symmetry_se': '0.01365', 'fractal_dimension_se': '0.003407', 'radius_worst': '14.2', 'texture_worst': '31.31', 'perimeter_worst': '90.67', 'area_worst': '624', 'smoothness_worst': '0.1227', 'compactness_worst': '0.3454', 'concavity_worst': '0.3911', 'concave points_worst': '0.118', 'symmetry_worst': '0.2826', 'fractal_dimension_worst': '0.09585'}
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{'id': '88299702', 'diagnosis': 'M', 'radius_mean': '23.21', 'texture_mean': '26.97', 'perimeter_mean': '153.5', 'area_mean': '1670', 'smoothness_mean': '0.09509', 'compactness_mean': '0.1682', 'concavity_mean': '0.195', 'concave points_mean': '0.1237', 'symmetry_mean': '0.1909', 'fractal_dimension_mean': '0.06309', 'radius_se': '1.058', 'texture_se': '0.9635', 'perimeter_se': '7.247', 'area_se': '155.8', 'smoothness_se': '0.006428', 'compactness_se': '0.02863', 'concavity_se': '0.04497', 'concave points_se': '0.01716', 'symmetry_se': '0.0159', 'fractal_dimension_se': '0.003053', 'radius_worst': '31.01', 'texture_worst': '34.51', 'perimeter_worst': '206', 'area_worst': '2944', 'smoothness_worst': '0.1481', 'compactness_worst': '0.4126', 'concavity_worst': '0.582', 'concave points_worst': '0.2593', 'symmetry_worst': '0.3103', 'fractal_dimension_worst': '0.08677'}
{'id': '883263', 'diagnosis': 'M', 'radius_mean': '20.48', 'texture_mean': '21.46', 'perimeter_mean': '132.5', 'area_mean': '1306', 'smoothness_mean': '0.08355', 'compactness_mean': '0.08348', 'concavity_mean': '0.09042', 'concave points_mean': '0.06022', 'symmetry_mean': '0.1467', 'fractal_dimension_mean': '0.05177', 'radius_se': '0.6874', 'texture_se': '1.041', 'perimeter_se': '5.144', 'area_se': '83.5', 'smoothness_se': '0.007959', 'compactness_se': '0.03133', 'concavity_se': '0.04257', 'concave points_se': '0.01671', 'symmetry_se': '0.01341', 'fractal_dimension_se': '0.003933', 'radius_worst': '24.22', 'texture_worst': '26.17', 'perimeter_worst': '161.7', 'area_worst': '1750', 'smoothness_worst': '0.1228', 'compactness_worst': '0.2311', 'concavity_worst': '0.3158', 'concave points_worst': '0.1445', 'symmetry_worst': '0.2238', 'fractal_dimension_worst': '0.07127'}
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{'id': '88350402', 'diagnosis': 'B', 'radius_mean': '13.64', 'texture_mean': '15.6', 'perimeter_mean': '87.38', 'area_mean': '575.3', 'smoothness_mean': '0.09423', 'compactness_mean': '0.0663', 'concavity_mean': '0.04705', 'concave points_mean': '0.03731', 'symmetry_mean': '0.1717', 'fractal_dimension_mean': '0.0566', 'radius_se': '0.3242', 'texture_se': '0.6612', 'perimeter_se': '1.996', 'area_se': '27.19', 'smoothness_se': '0.00647', 'compactness_se': '0.01248', 'concavity_se': '0.0181', 'concave points_se': '0.01103', 'symmetry_se': '0.01898', 'fractal_dimension_se': '0.001794', 'radius_worst': '14.85', 'texture_worst': '19.05', 'perimeter_worst': '94.11', 'area_worst': '683.4', 'smoothness_worst': '0.1278', 'compactness_worst': '0.1291', 'concavity_worst': '0.1533', 'concave points_worst': '0.09222', 'symmetry_worst': '0.253', 'fractal_dimension_worst': '0.0651'}
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{'id': '883852', 'diagnosis': 'B', 'radius_mean': '11.3', 'texture_mean': '18.19', 'perimeter_mean': '73.93', 'area_mean': '389.4', 'smoothness_mean': '0.09592', 'compactness_mean': '0.1325', 'concavity_mean': '0.1548', 'concave points_mean': '0.02854', 'symmetry_mean': '0.2054', 'fractal_dimension_mean': '0.07669', 'radius_se': '0.2428', 'texture_se': '1.642', 'perimeter_se': '2.369', 'area_se': '16.39', 'smoothness_se': '0.006663', 'compactness_se': '0.05914', 'concavity_se': '0.0888', 'concave points_se': '0.01314', 'symmetry_se': '0.01995', 'fractal_dimension_se': '0.008675', 'radius_worst': '12.58', 'texture_worst': '27.96', 'perimeter_worst': '87.16', 'area_worst': '472.9', 'smoothness_worst': '0.1347', 'compactness_worst': '0.4848', 'concavity_worst': '0.7436', 'concave points_worst': '0.1218', 'symmetry_worst': '0.3308', 'fractal_dimension_worst': '0.1297'}
{'id': '88411702', 'diagnosis': 'B', 'radius_mean': '13.75', 'texture_mean': '23.77', 'perimeter_mean': '88.54', 'area_mean': '590', 'smoothness_mean': '0.08043', 'compactness_mean': '0.06807', 'concavity_mean': '0.04697', 'concave points_mean': '0.02344', 'symmetry_mean': '0.1773', 'fractal_dimension_mean': '0.05429', 'radius_se': '0.4347', 'texture_se': '1.057', 'perimeter_se': '2.829', 'area_se': '39.93', 'smoothness_se': '0.004351', 'compactness_se': '0.02667', 'concavity_se': '0.03371', 'concave points_se': '0.01007', 'symmetry_se': '0.02598', 'fractal_dimension_se': '0.003087', 'radius_worst': '15.01', 'texture_worst': '26.34', 'perimeter_worst': '98', 'area_worst': '706', 'smoothness_worst': '0.09368', 'compactness_worst': '0.1442', 'concavity_worst': '0.1359', 'concave points_worst': '0.06106', 'symmetry_worst': '0.2663', 'fractal_dimension_worst': '0.06321'}
{'id': '884180', 'diagnosis': 'M', 'radius_mean': '19.4', 'texture_mean': '23.5', 'perimeter_mean': '129.1', 'area_mean': '1155', 'smoothness_mean': '0.1027', 'compactness_mean': '0.1558', 'concavity_mean': '0.2049', 'concave points_mean': '0.08886', 'symmetry_mean': '0.1978', 'fractal_dimension_mean': '0.06', 'radius_se': '0.5243', 'texture_se': '1.802', 'perimeter_se': '4.037', 'area_se': '60.41', 'smoothness_se': '0.01061', 'compactness_se': '0.03252', 'concavity_se': '0.03915', 'concave points_se': '0.01559', 'symmetry_se': '0.02186', 'fractal_dimension_se': '0.003949', 'radius_worst': '21.65', 'texture_worst': '30.53', 'perimeter_worst': '144.9', 'area_worst': '1417', 'smoothness_worst': '0.1463', 'compactness_worst': '0.2968', 'concavity_worst': '0.3458', 'concave points_worst': '0.1564', 'symmetry_worst': '0.292', 'fractal_dimension_worst': '0.07614'}
{'id': '884437', 'diagnosis': 'B', 'radius_mean': '10.48', 'texture_mean': '19.86', 'perimeter_mean': '66.72', 'area_mean': '337.7', 'smoothness_mean': '0.107', 'compactness_mean': '0.05971', 'concavity_mean': '0.04831', 'concave points_mean': '0.0307', 'symmetry_mean': '0.1737', 'fractal_dimension_mean': '0.0644', 'radius_se': '0.3719', 'texture_se': '2.612', 'perimeter_se': '2.517', 'area_se': '23.22', 'smoothness_se': '0.01604', 'compactness_se': '0.01386', 'concavity_se': '0.01865', 'concave points_se': '0.01133', 'symmetry_se': '0.03476', 'fractal_dimension_se': '0.00356', 'radius_worst': '11.48', 'texture_worst': '29.46', 'perimeter_worst': '73.68', 'area_worst': '402.8', 'smoothness_worst': '0.1515', 'compactness_worst': '0.1026', 'concavity_worst': '0.1181', 'concave points_worst': '0.06736', 'symmetry_worst': '0.2883', 'fractal_dimension_worst': '0.07748'}
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{'id': '8860702', 'diagnosis': 'M', 'radius_mean': '17.3', 'texture_mean': '17.08', 'perimeter_mean': '113', 'area_mean': '928.2', 'smoothness_mean': '0.1008', 'compactness_mean': '0.1041', 'concavity_mean': '0.1266', 'concave points_mean': '0.08353', 'symmetry_mean': '0.1813', 'fractal_dimension_mean': '0.05613', 'radius_se': '0.3093', 'texture_se': '0.8568', 'perimeter_se': '2.193', 'area_se': '33.63', 'smoothness_se': '0.004757', 'compactness_se': '0.01503', 'concavity_se': '0.02332', 'concave points_se': '0.01262', 'symmetry_se': '0.01394', 'fractal_dimension_se': '0.002362', 'radius_worst': '19.85', 'texture_worst': '25.09', 'perimeter_worst': '130.9', 'area_worst': '1222', 'smoothness_worst': '0.1416', 'compactness_worst': '0.2405', 'concavity_worst': '0.3378', 'concave points_worst': '0.1857', 'symmetry_worst': '0.3138', 'fractal_dimension_worst': '0.08113'}
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{'id': '886452', 'diagnosis': 'M', 'radius_mean': '13.96', 'texture_mean': '17.05', 'perimeter_mean': '91.43', 'area_mean': '602.4', 'smoothness_mean': '0.1096', 'compactness_mean': '0.1279', 'concavity_mean': '0.09789', 'concave points_mean': '0.05246', 'symmetry_mean': '0.1908', 'fractal_dimension_mean': '0.0613', 'radius_se': '0.425', 'texture_se': '0.8098', 'perimeter_se': '2.563', 'area_se': '35.74', 'smoothness_se': '0.006351', 'compactness_se': '0.02679', 'concavity_se': '0.03119', 'concave points_se': '0.01342', 'symmetry_se': '0.02062', 'fractal_dimension_se': '0.002695', 'radius_worst': '16.39', 'texture_worst': '22.07', 'perimeter_worst': '108.1', 'area_worst': '826', 'smoothness_worst': '0.1512', 'compactness_worst': '0.3262', 'concavity_worst': '0.3209', 'concave points_worst': '0.1374', 'symmetry_worst': '0.3068', 'fractal_dimension_worst': '0.07957'}
{'id': '88649001', 'diagnosis': 'M', 'radius_mean': '19.55', 'texture_mean': '28.77', 'perimeter_mean': '133.6', 'area_mean': '1207', 'smoothness_mean': '0.0926', 'compactness_mean': '0.2063', 'concavity_mean': '0.1784', 'concave points_mean': '0.1144', 'symmetry_mean': '0.1893', 'fractal_dimension_mean': '0.06232', 'radius_se': '0.8426', 'texture_se': '1.199', 'perimeter_se': '7.158', 'area_se': '106.4', 'smoothness_se': '0.006356', 'compactness_se': '0.04765', 'concavity_se': '0.03863', 'concave points_se': '0.01519', 'symmetry_se': '0.01936', 'fractal_dimension_se': '0.005252', 'radius_worst': '25.05', 'texture_worst': '36.27', 'perimeter_worst': '178.6', 'area_worst': '1926', 'smoothness_worst': '0.1281', 'compactness_worst': '0.5329', 'concavity_worst': '0.4251', 'concave points_worst': '0.1941', 'symmetry_worst': '0.2818', 'fractal_dimension_worst': '0.1005'}
{'id': '886776', 'diagnosis': 'M', 'radius_mean': '15.32', 'texture_mean': '17.27', 'perimeter_mean': '103.2', 'area_mean': '713.3', 'smoothness_mean': '0.1335', 'compactness_mean': '0.2284', 'concavity_mean': '0.2448', 'concave points_mean': '0.1242', 'symmetry_mean': '0.2398', 'fractal_dimension_mean': '0.07596', 'radius_se': '0.6592', 'texture_se': '1.059', 'perimeter_se': '4.061', 'area_se': '59.46', 'smoothness_se': '0.01015', 'compactness_se': '0.04588', 'concavity_se': '0.04983', 'concave points_se': '0.02127', 'symmetry_se': '0.01884', 'fractal_dimension_se': '0.00866', 'radius_worst': '17.73', 'texture_worst': '22.66', 'perimeter_worst': '119.8', 'area_worst': '928.8', 'smoothness_worst': '0.1765', 'compactness_worst': '0.4503', 'concavity_worst': '0.4429', 'concave points_worst': '0.2229', 'symmetry_worst': '0.3258', 'fractal_dimension_worst': '0.1191'}
{'id': '887181', 'diagnosis': 'M', 'radius_mean': '15.66', 'texture_mean': '23.2', 'perimeter_mean': '110.2', 'area_mean': '773.5', 'smoothness_mean': '0.1109', 'compactness_mean': '0.3114', 'concavity_mean': '0.3176', 'concave points_mean': '0.1377', 'symmetry_mean': '0.2495', 'fractal_dimension_mean': '0.08104', 'radius_se': '1.292', 'texture_se': '2.454', 'perimeter_se': '10.12', 'area_se': '138.5', 'smoothness_se': '0.01236', 'compactness_se': '0.05995', 'concavity_se': '0.08232', 'concave points_se': '0.03024', 'symmetry_se': '0.02337', 'fractal_dimension_se': '0.006042', 'radius_worst': '19.85', 'texture_worst': '31.64', 'perimeter_worst': '143.7', 'area_worst': '1226', 'smoothness_worst': '0.1504', 'compactness_worst': '0.5172', 'concavity_worst': '0.6181', 'concave points_worst': '0.2462', 'symmetry_worst': '0.3277', 'fractal_dimension_worst': '0.1019'}
{'id': '88725602', 'diagnosis': 'M', 'radius_mean': '15.53', 'texture_mean': '33.56', 'perimeter_mean': '103.7', 'area_mean': '744.9', 'smoothness_mean': '0.1063', 'compactness_mean': '0.1639', 'concavity_mean': '0.1751', 'concave points_mean': '0.08399', 'symmetry_mean': '0.2091', 'fractal_dimension_mean': '0.0665', 'radius_se': '0.2419', 'texture_se': '1.278', 'perimeter_se': '1.903', 'area_se': '23.02', 'smoothness_se': '0.005345', 'compactness_se': '0.02556', 'concavity_se': '0.02889', 'concave points_se': '0.01022', 'symmetry_se': '0.009947', 'fractal_dimension_se': '0.003359', 'radius_worst': '18.49', 'texture_worst': '49.54', 'perimeter_worst': '126.3', 'area_worst': '1035', 'smoothness_worst': '0.1883', 'compactness_worst': '0.5564', 'concavity_worst': '0.5703', 'concave points_worst': '0.2014', 'symmetry_worst': '0.3512', 'fractal_dimension_worst': '0.1204'}
{'id': '887549', 'diagnosis': 'M', 'radius_mean': '20.31', 'texture_mean': '27.06', 'perimeter_mean': '132.9', 'area_mean': '1288', 'smoothness_mean': '0.1', 'compactness_mean': '0.1088', 'concavity_mean': '0.1519', 'concave points_mean': '0.09333', 'symmetry_mean': '0.1814', 'fractal_dimension_mean': '0.05572', 'radius_se': '0.3977', 'texture_se': '1.033', 'perimeter_se': '2.587', 'area_se': '52.34', 'smoothness_se': '0.005043', 'compactness_se': '0.01578', 'concavity_se': '0.02117', 'concave points_se': '0.008185', 'symmetry_se': '0.01282', 'fractal_dimension_se': '0.001892', 'radius_worst': '24.33', 'texture_worst': '39.16', 'perimeter_worst': '162.3', 'area_worst': '1844', 'smoothness_worst': '0.1522', 'compactness_worst': '0.2945', 'concavity_worst': '0.3788', 'concave points_worst': '0.1697', 'symmetry_worst': '0.3151', 'fractal_dimension_worst': '0.07999'}
{'id': '888264', 'diagnosis': 'M', 'radius_mean': '17.35', 'texture_mean': '23.06', 'perimeter_mean': '111', 'area_mean': '933.1', 'smoothness_mean': '0.08662', 'compactness_mean': '0.0629', 'concavity_mean': '0.02891', 'concave points_mean': '0.02837', 'symmetry_mean': '0.1564', 'fractal_dimension_mean': '0.05307', 'radius_se': '0.4007', 'texture_se': '1.317', 'perimeter_se': '2.577', 'area_se': '44.41', 'smoothness_se': '0.005726', 'compactness_se': '0.01106', 'concavity_se': '0.01246', 'concave points_se': '0.007671', 'symmetry_se': '0.01411', 'fractal_dimension_se': '0.001578', 'radius_worst': '19.85', 'texture_worst': '31.47', 'perimeter_worst': '128.2', 'area_worst': '1218', 'smoothness_worst': '0.124', 'compactness_worst': '0.1486', 'concavity_worst': '0.1211', 'concave points_worst': '0.08235', 'symmetry_worst': '0.2452', 'fractal_dimension_worst': '0.06515'}
{'id': '888570', 'diagnosis': 'M', 'radius_mean': '17.29', 'texture_mean': '22.13', 'perimeter_mean': '114.4', 'area_mean': '947.8', 'smoothness_mean': '0.08999', 'compactness_mean': '0.1273', 'concavity_mean': '0.09697', 'concave points_mean': '0.07507', 'symmetry_mean': '0.2108', 'fractal_dimension_mean': '0.05464', 'radius_se': '0.8348', 'texture_se': '1.633', 'perimeter_se': '6.146', 'area_se': '90.94', 'smoothness_se': '0.006717', 'compactness_se': '0.05981', 'concavity_se': '0.04638', 'concave points_se': '0.02149', 'symmetry_se': '0.02747', 'fractal_dimension_se': '0.005838', 'radius_worst': '20.39', 'texture_worst': '27.24', 'perimeter_worst': '137.9', 'area_worst': '1295', 'smoothness_worst': '0.1134', 'compactness_worst': '0.2867', 'concavity_worst': '0.2298', 'concave points_worst': '0.1528', 'symmetry_worst': '0.3067', 'fractal_dimension_worst': '0.07484'}
{'id': '889403', 'diagnosis': 'M', 'radius_mean': '15.61', 'texture_mean': '19.38', 'perimeter_mean': '100', 'area_mean': '758.6', 'smoothness_mean': '0.0784', 'compactness_mean': '0.05616', 'concavity_mean': '0.04209', 'concave points_mean': '0.02847', 'symmetry_mean': '0.1547', 'fractal_dimension_mean': '0.05443', 'radius_se': '0.2298', 'texture_se': '0.9988', 'perimeter_se': '1.534', 'area_se': '22.18', 'smoothness_se': '0.002826', 'compactness_se': '0.009105', 'concavity_se': '0.01311', 'concave points_se': '0.005174', 'symmetry_se': '0.01013', 'fractal_dimension_se': '0.001345', 'radius_worst': '17.91', 'texture_worst': '31.67', 'perimeter_worst': '115.9', 'area_worst': '988.6', 'smoothness_worst': '0.1084', 'compactness_worst': '0.1807', 'concavity_worst': '0.226', 'concave points_worst': '0.08568', 'symmetry_worst': '0.2683', 'fractal_dimension_worst': '0.06829'}
{'id': '889719', 'diagnosis': 'M', 'radius_mean': '17.19', 'texture_mean': '22.07', 'perimeter_mean': '111.6', 'area_mean': '928.3', 'smoothness_mean': '0.09726', 'compactness_mean': '0.08995', 'concavity_mean': '0.09061', 'concave points_mean': '0.06527', 'symmetry_mean': '0.1867', 'fractal_dimension_mean': '0.0558', 'radius_se': '0.4203', 'texture_se': '0.7383', 'perimeter_se': '2.819', 'area_se': '45.42', 'smoothness_se': '0.004493', 'compactness_se': '0.01206', 'concavity_se': '0.02048', 'concave points_se': '0.009875', 'symmetry_se': '0.01144', 'fractal_dimension_se': '0.001575', 'radius_worst': '21.58', 'texture_worst': '29.33', 'perimeter_worst': '140.5', 'area_worst': '1436', 'smoothness_worst': '0.1558', 'compactness_worst': '0.2567', 'concavity_worst': '0.3889', 'concave points_worst': '0.1984', 'symmetry_worst': '0.3216', 'fractal_dimension_worst': '0.0757'}
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{'id': '8910251', 'diagnosis': 'B', 'radius_mean': '10.6', 'texture_mean': '18.95', 'perimeter_mean': '69.28', 'area_mean': '346.4', 'smoothness_mean': '0.09688', 'compactness_mean': '0.1147', 'concavity_mean': '0.06387', 'concave points_mean': '0.02642', 'symmetry_mean': '0.1922', 'fractal_dimension_mean': '0.06491', 'radius_se': '0.4505', 'texture_se': '1.197', 'perimeter_se': '3.43', 'area_se': '27.1', 'smoothness_se': '0.00747', 'compactness_se': '0.03581', 'concavity_se': '0.03354', 'concave points_se': '0.01365', 'symmetry_se': '0.03504', 'fractal_dimension_se': '0.003318', 'radius_worst': '11.88', 'texture_worst': '22.94', 'perimeter_worst': '78.28', 'area_worst': '424.8', 'smoothness_worst': '0.1213', 'compactness_worst': '0.2515', 'concavity_worst': '0.1916', 'concave points_worst': '0.07926', 'symmetry_worst': '0.294', 'fractal_dimension_worst': '0.07587'}
{'id': '8910499', 'diagnosis': 'B', 'radius_mean': '13.59', 'texture_mean': '21.84', 'perimeter_mean': '87.16', 'area_mean': '561', 'smoothness_mean': '0.07956', 'compactness_mean': '0.08259', 'concavity_mean': '0.04072', 'concave points_mean': '0.02142', 'symmetry_mean': '0.1635', 'fractal_dimension_mean': '0.05859', 'radius_se': '0.338', 'texture_se': '1.916', 'perimeter_se': '2.591', 'area_se': '26.76', 'smoothness_se': '0.005436', 'compactness_se': '0.02406', 'concavity_se': '0.03099', 'concave points_se': '0.009919', 'symmetry_se': '0.0203', 'fractal_dimension_se': '0.003009', 'radius_worst': '14.8', 'texture_worst': '30.04', 'perimeter_worst': '97.66', 'area_worst': '661.5', 'smoothness_worst': '0.1005', 'compactness_worst': '0.173', 'concavity_worst': '0.1453', 'concave points_worst': '0.06189', 'symmetry_worst': '0.2446', 'fractal_dimension_worst': '0.07024'}
{'id': '8910506', 'diagnosis': 'B', 'radius_mean': '12.87', 'texture_mean': '16.21', 'perimeter_mean': '82.38', 'area_mean': '512.2', 'smoothness_mean': '0.09425', 'compactness_mean': '0.06219', 'concavity_mean': '0.039', 'concave points_mean': '0.01615', 'symmetry_mean': '0.201', 'fractal_dimension_mean': '0.05769', 'radius_se': '0.2345', 'texture_se': '1.219', 'perimeter_se': '1.546', 'area_se': '18.24', 'smoothness_se': '0.005518', 'compactness_se': '0.02178', 'concavity_se': '0.02589', 'concave points_se': '0.00633', 'symmetry_se': '0.02593', 'fractal_dimension_se': '0.002157', 'radius_worst': '13.9', 'texture_worst': '23.64', 'perimeter_worst': '89.27', 'area_worst': '597.5', 'smoothness_worst': '0.1256', 'compactness_worst': '0.1808', 'concavity_worst': '0.1992', 'concave points_worst': '0.0578', 'symmetry_worst': '0.3604', 'fractal_dimension_worst': '0.07062'}
{'id': '8910720', 'diagnosis': 'B', 'radius_mean': '10.71', 'texture_mean': '20.39', 'perimeter_mean': '69.5', 'area_mean': '344.9', 'smoothness_mean': '0.1082', 'compactness_mean': '0.1289', 'concavity_mean': '0.08448', 'concave points_mean': '0.02867', 'symmetry_mean': '0.1668', 'fractal_dimension_mean': '0.06862', 'radius_se': '0.3198', 'texture_se': '1.489', 'perimeter_se': '2.23', 'area_se': '20.74', 'smoothness_se': '0.008902', 'compactness_se': '0.04785', 'concavity_se': '0.07339', 'concave points_se': '0.01745', 'symmetry_se': '0.02728', 'fractal_dimension_se': '0.00761', 'radius_worst': '11.69', 'texture_worst': '25.21', 'perimeter_worst': '76.51', 'area_worst': '410.4', 'smoothness_worst': '0.1335', 'compactness_worst': '0.255', 'concavity_worst': '0.2534', 'concave points_worst': '0.086', 'symmetry_worst': '0.2605', 'fractal_dimension_worst': '0.08701'}
{'id': '8910721', 'diagnosis': 'B', 'radius_mean': '14.29', 'texture_mean': '16.82', 'perimeter_mean': '90.3', 'area_mean': '632.6', 'smoothness_mean': '0.06429', 'compactness_mean': '0.02675', 'concavity_mean': '0.00725', 'concave points_mean': '0.00625', 'symmetry_mean': '0.1508', 'fractal_dimension_mean': '0.05376', 'radius_se': '0.1302', 'texture_se': '0.7198', 'perimeter_se': '0.8439', 'area_se': '10.77', 'smoothness_se': '0.003492', 'compactness_se': '0.00371', 'concavity_se': '0.004826', 'concave points_se': '0.003608', 'symmetry_se': '0.01536', 'fractal_dimension_se': '0.001381', 'radius_worst': '14.91', 'texture_worst': '20.65', 'perimeter_worst': '94.44', 'area_worst': '684.6', 'smoothness_worst': '0.08567', 'compactness_worst': '0.05036', 'concavity_worst': '0.03866', 'concave points_worst': '0.03333', 'symmetry_worst': '0.2458', 'fractal_dimension_worst': '0.0612'}
{'id': '8910748', 'diagnosis': 'B', 'radius_mean': '11.29', 'texture_mean': '13.04', 'perimeter_mean': '72.23', 'area_mean': '388', 'smoothness_mean': '0.09834', 'compactness_mean': '0.07608', 'concavity_mean': '0.03265', 'concave points_mean': '0.02755', 'symmetry_mean': '0.1769', 'fractal_dimension_mean': '0.0627', 'radius_se': '0.1904', 'texture_se': '0.5293', 'perimeter_se': '1.164', 'area_se': '13.17', 'smoothness_se': '0.006472', 'compactness_se': '0.01122', 'concavity_se': '0.01282', 'concave points_se': '0.008849', 'symmetry_se': '0.01692', 'fractal_dimension_se': '0.002817', 'radius_worst': '12.32', 'texture_worst': '16.18', 'perimeter_worst': '78.27', 'area_worst': '457.5', 'smoothness_worst': '0.1358', 'compactness_worst': '0.1507', 'concavity_worst': '0.1275', 'concave points_worst': '0.0875', 'symmetry_worst': '0.2733', 'fractal_dimension_worst': '0.08022'}
{'id': '8910988', 'diagnosis': 'M', 'radius_mean': '21.75', 'texture_mean': '20.99', 'perimeter_mean': '147.3', 'area_mean': '1491', 'smoothness_mean': '0.09401', 'compactness_mean': '0.1961', 'concavity_mean': '0.2195', 'concave points_mean': '0.1088', 'symmetry_mean': '0.1721', 'fractal_dimension_mean': '0.06194', 'radius_se': '1.167', 'texture_se': '1.352', 'perimeter_se': '8.867', 'area_se': '156.8', 'smoothness_se': '0.005687', 'compactness_se': '0.0496', 'concavity_se': '0.06329', 'concave points_se': '0.01561', 'symmetry_se': '0.01924', 'fractal_dimension_se': '0.004614', 'radius_worst': '28.19', 'texture_worst': '28.18', 'perimeter_worst': '195.9', 'area_worst': '2384', 'smoothness_worst': '0.1272', 'compactness_worst': '0.4725', 'concavity_worst': '0.5807', 'concave points_worst': '0.1841', 'symmetry_worst': '0.2833', 'fractal_dimension_worst': '0.08858'}
{'id': '8910996', 'diagnosis': 'B', 'radius_mean': '9.742', 'texture_mean': '15.67', 'perimeter_mean': '61.5', 'area_mean': '289.9', 'smoothness_mean': '0.09037', 'compactness_mean': '0.04689', 'concavity_mean': '0.01103', 'concave points_mean': '0.01407', 'symmetry_mean': '0.2081', 'fractal_dimension_mean': '0.06312', 'radius_se': '0.2684', 'texture_se': '1.409', 'perimeter_se': '1.75', 'area_se': '16.39', 'smoothness_se': '0.0138', 'compactness_se': '0.01067', 'concavity_se': '0.008347', 'concave points_se': '0.009472', 'symmetry_se': '0.01798', 'fractal_dimension_se': '0.004261', 'radius_worst': '10.75', 'texture_worst': '20.88', 'perimeter_worst': '68.09', 'area_worst': '355.2', 'smoothness_worst': '0.1467', 'compactness_worst': '0.0937', 'concavity_worst': '0.04043', 'concave points_worst': '0.05159', 'symmetry_worst': '0.2841', 'fractal_dimension_worst': '0.08175'}
{'id': '8911163', 'diagnosis': 'M', 'radius_mean': '17.93', 'texture_mean': '24.48', 'perimeter_mean': '115.2', 'area_mean': '998.9', 'smoothness_mean': '0.08855', 'compactness_mean': '0.07027', 'concavity_mean': '0.05699', 'concave points_mean': '0.04744', 'symmetry_mean': '0.1538', 'fractal_dimension_mean': '0.0551', 'radius_se': '0.4212', 'texture_se': '1.433', 'perimeter_se': '2.765', 'area_se': '45.81', 'smoothness_se': '0.005444', 'compactness_se': '0.01169', 'concavity_se': '0.01622', 'concave points_se': '0.008522', 'symmetry_se': '0.01419', 'fractal_dimension_se': '0.002751', 'radius_worst': '20.92', 'texture_worst': '34.69', 'perimeter_worst': '135.1', 'area_worst': '1320', 'smoothness_worst': '0.1315', 'compactness_worst': '0.1806', 'concavity_worst': '0.208', 'concave points_worst': '0.1136', 'symmetry_worst': '0.2504', 'fractal_dimension_worst': '0.07948'}
{'id': '8911164', 'diagnosis': 'B', 'radius_mean': '11.89', 'texture_mean': '17.36', 'perimeter_mean': '76.2', 'area_mean': '435.6', 'smoothness_mean': '0.1225', 'compactness_mean': '0.0721', 'concavity_mean': '0.05929', 'concave points_mean': '0.07404', 'symmetry_mean': '0.2015', 'fractal_dimension_mean': '0.05875', 'radius_se': '0.6412', 'texture_se': '2.293', 'perimeter_se': '4.021', 'area_se': '48.84', 'smoothness_se': '0.01418', 'compactness_se': '0.01489', 'concavity_se': '0.01267', 'concave points_se': '0.0191', 'symmetry_se': '0.02678', 'fractal_dimension_se': '0.003002', 'radius_worst': '12.4', 'texture_worst': '18.99', 'perimeter_worst': '79.46', 'area_worst': '472.4', 'smoothness_worst': '0.1359', 'compactness_worst': '0.08368', 'concavity_worst': '0.07153', 'concave points_worst': '0.08946', 'symmetry_worst': '0.222', 'fractal_dimension_worst': '0.06033'}
{'id': '8911230', 'diagnosis': 'B', 'radius_mean': '11.33', 'texture_mean': '14.16', 'perimeter_mean': '71.79', 'area_mean': '396.6', 'smoothness_mean': '0.09379', 'compactness_mean': '0.03872', 'concavity_mean': '0.001487', 'concave points_mean': '0.003333', 'symmetry_mean': '0.1954', 'fractal_dimension_mean': '0.05821', 'radius_se': '0.2375', 'texture_se': '1.28', 'perimeter_se': '1.565', 'area_se': '17.09', 'smoothness_se': '0.008426', 'compactness_se': '0.008998', 'concavity_se': '0.001487', 'concave points_se': '0.003333', 'symmetry_se': '0.02358', 'fractal_dimension_se': '0.001627', 'radius_worst': '12.2', 'texture_worst': '18.99', 'perimeter_worst': '77.37', 'area_worst': '458', 'smoothness_worst': '0.1259', 'compactness_worst': '0.07348', 'concavity_worst': '0.004955', 'concave points_worst': '0.01111', 'symmetry_worst': '0.2758', 'fractal_dimension_worst': '0.06386'}
{'id': '8911670', 'diagnosis': 'M', 'radius_mean': '18.81', 'texture_mean': '19.98', 'perimeter_mean': '120.9', 'area_mean': '1102', 'smoothness_mean': '0.08923', 'compactness_mean': '0.05884', 'concavity_mean': '0.0802', 'concave points_mean': '0.05843', 'symmetry_mean': '0.155', 'fractal_dimension_mean': '0.04996', 'radius_se': '0.3283', 'texture_se': '0.828', 'perimeter_se': '2.363', 'area_se': '36.74', 'smoothness_se': '0.007571', 'compactness_se': '0.01114', 'concavity_se': '0.02623', 'concave points_se': '0.01463', 'symmetry_se': '0.0193', 'fractal_dimension_se': '0.001676', 'radius_worst': '19.96', 'texture_worst': '24.3', 'perimeter_worst': '129', 'area_worst': '1236', 'smoothness_worst': '0.1243', 'compactness_worst': '0.116', 'concavity_worst': '0.221', 'concave points_worst': '0.1294', 'symmetry_worst': '0.2567', 'fractal_dimension_worst': '0.05737'}
{'id': '8911800', 'diagnosis': 'B', 'radius_mean': '13.59', 'texture_mean': '17.84', 'perimeter_mean': '86.24', 'area_mean': '572.3', 'smoothness_mean': '0.07948', 'compactness_mean': '0.04052', 'concavity_mean': '0.01997', 'concave points_mean': '0.01238', 'symmetry_mean': '0.1573', 'fractal_dimension_mean': '0.0552', 'radius_se': '0.258', 'texture_se': '1.166', 'perimeter_se': '1.683', 'area_se': '22.22', 'smoothness_se': '0.003741', 'compactness_se': '0.005274', 'concavity_se': '0.01065', 'concave points_se': '0.005044', 'symmetry_se': '0.01344', 'fractal_dimension_se': '0.001126', 'radius_worst': '15.5', 'texture_worst': '26.1', 'perimeter_worst': '98.91', 'area_worst': '739.1', 'smoothness_worst': '0.105', 'compactness_worst': '0.07622', 'concavity_worst': '0.106', 'concave points_worst': '0.05185', 'symmetry_worst': '0.2335', 'fractal_dimension_worst': '0.06263'}
{'id': '8911834', 'diagnosis': 'B', 'radius_mean': '13.85', 'texture_mean': '15.18', 'perimeter_mean': '88.99', 'area_mean': '587.4', 'smoothness_mean': '0.09516', 'compactness_mean': '0.07688', 'concavity_mean': '0.04479', 'concave points_mean': '0.03711', 'symmetry_mean': '0.211', 'fractal_dimension_mean': '0.05853', 'radius_se': '0.2479', 'texture_se': '0.9195', 'perimeter_se': '1.83', 'area_se': '19.41', 'smoothness_se': '0.004235', 'compactness_se': '0.01541', 'concavity_se': '0.01457', 'concave points_se': '0.01043', 'symmetry_se': '0.01528', 'fractal_dimension_se': '0.001593', 'radius_worst': '14.98', 'texture_worst': '21.74', 'perimeter_worst': '98.37', 'area_worst': '670', 'smoothness_worst': '0.1185', 'compactness_worst': '0.1724', 'concavity_worst': '0.1456', 'concave points_worst': '0.09993', 'symmetry_worst': '0.2955', 'fractal_dimension_worst': '0.06912'}
{'id': '8912049', 'diagnosis': 'M', 'radius_mean': '19.16', 'texture_mean': '26.6', 'perimeter_mean': '126.2', 'area_mean': '1138', 'smoothness_mean': '0.102', 'compactness_mean': '0.1453', 'concavity_mean': '0.1921', 'concave points_mean': '0.09664', 'symmetry_mean': '0.1902', 'fractal_dimension_mean': '0.0622', 'radius_se': '0.6361', 'texture_se': '1.001', 'perimeter_se': '4.321', 'area_se': '69.65', 'smoothness_se': '0.007392', 'compactness_se': '0.02449', 'concavity_se': '0.03988', 'concave points_se': '0.01293', 'symmetry_se': '0.01435', 'fractal_dimension_se': '0.003446', 'radius_worst': '23.72', 'texture_worst': '35.9', 'perimeter_worst': '159.8', 'area_worst': '1724', 'smoothness_worst': '0.1782', 'compactness_worst': '0.3841', 'concavity_worst': '0.5754', 'concave points_worst': '0.1872', 'symmetry_worst': '0.3258', 'fractal_dimension_worst': '0.0972'}
{'id': '8912055', 'diagnosis': 'B', 'radius_mean': '11.74', 'texture_mean': '14.02', 'perimeter_mean': '74.24', 'area_mean': '427.3', 'smoothness_mean': '0.07813', 'compactness_mean': '0.0434', 'concavity_mean': '0.02245', 'concave points_mean': '0.02763', 'symmetry_mean': '0.2101', 'fractal_dimension_mean': '0.06113', 'radius_se': '0.5619', 'texture_se': '1.268', 'perimeter_se': '3.717', 'area_se': '37.83', 'smoothness_se': '0.008034', 'compactness_se': '0.01442', 'concavity_se': '0.01514', 'concave points_se': '0.01846', 'symmetry_se': '0.02921', 'fractal_dimension_se': '0.002005', 'radius_worst': '13.31', 'texture_worst': '18.26', 'perimeter_worst': '84.7', 'area_worst': '533.7', 'smoothness_worst': '0.1036', 'compactness_worst': '0.085', 'concavity_worst': '0.06735', 'concave points_worst': '0.0829', 'symmetry_worst': '0.3101', 'fractal_dimension_worst': '0.06688'}
{'id': '89122', 'diagnosis': 'M', 'radius_mean': '19.4', 'texture_mean': '18.18', 'perimeter_mean': '127.2', 'area_mean': '1145', 'smoothness_mean': '0.1037', 'compactness_mean': '0.1442', 'concavity_mean': '0.1626', 'concave points_mean': '0.09464', 'symmetry_mean': '0.1893', 'fractal_dimension_mean': '0.05892', 'radius_se': '0.4709', 'texture_se': '0.9951', 'perimeter_se': '2.903', 'area_se': '53.16', 'smoothness_se': '0.005654', 'compactness_se': '0.02199', 'concavity_se': '0.03059', 'concave points_se': '0.01499', 'symmetry_se': '0.01623', 'fractal_dimension_se': '0.001965', 'radius_worst': '23.79', 'texture_worst': '28.65', 'perimeter_worst': '152.4', 'area_worst': '1628', 'smoothness_worst': '0.1518', 'compactness_worst': '0.3749', 'concavity_worst': '0.4316', 'concave points_worst': '0.2252', 'symmetry_worst': '0.359', 'fractal_dimension_worst': '0.07787'}
{'id': '8912280', 'diagnosis': 'M', 'radius_mean': '16.24', 'texture_mean': '18.77', 'perimeter_mean': '108.8', 'area_mean': '805.1', 'smoothness_mean': '0.1066', 'compactness_mean': '0.1802', 'concavity_mean': '0.1948', 'concave points_mean': '0.09052', 'symmetry_mean': '0.1876', 'fractal_dimension_mean': '0.06684', 'radius_se': '0.2873', 'texture_se': '0.9173', 'perimeter_se': '2.464', 'area_se': '28.09', 'smoothness_se': '0.004563', 'compactness_se': '0.03481', 'concavity_se': '0.03872', 'concave points_se': '0.01209', 'symmetry_se': '0.01388', 'fractal_dimension_se': '0.004081', 'radius_worst': '18.55', 'texture_worst': '25.09', 'perimeter_worst': '126.9', 'area_worst': '1031', 'smoothness_worst': '0.1365', 'compactness_worst': '0.4706', 'concavity_worst': '0.5026', 'concave points_worst': '0.1732', 'symmetry_worst': '0.277', 'fractal_dimension_worst': '0.1063'}
{'id': '8912284', 'diagnosis': 'B', 'radius_mean': '12.89', 'texture_mean': '15.7', 'perimeter_mean': '84.08', 'area_mean': '516.6', 'smoothness_mean': '0.07818', 'compactness_mean': '0.0958', 'concavity_mean': '0.1115', 'concave points_mean': '0.0339', 'symmetry_mean': '0.1432', 'fractal_dimension_mean': '0.05935', 'radius_se': '0.2913', 'texture_se': '1.389', 'perimeter_se': '2.347', 'area_se': '23.29', 'smoothness_se': '0.006418', 'compactness_se': '0.03961', 'concavity_se': '0.07927', 'concave points_se': '0.01774', 'symmetry_se': '0.01878', 'fractal_dimension_se': '0.003696', 'radius_worst': '13.9', 'texture_worst': '19.69', 'perimeter_worst': '92.12', 'area_worst': '595.6', 'smoothness_worst': '0.09926', 'compactness_worst': '0.2317', 'concavity_worst': '0.3344', 'concave points_worst': '0.1017', 'symmetry_worst': '0.1999', 'fractal_dimension_worst': '0.07127'}
{'id': '8912521', 'diagnosis': 'B', 'radius_mean': '12.58', 'texture_mean': '18.4', 'perimeter_mean': '79.83', 'area_mean': '489', 'smoothness_mean': '0.08393', 'compactness_mean': '0.04216', 'concavity_mean': '0.00186', 'concave points_mean': '0.002924', 'symmetry_mean': '0.1697', 'fractal_dimension_mean': '0.05855', 'radius_se': '0.2719', 'texture_se': '1.35', 'perimeter_se': '1.721', 'area_se': '22.45', 'smoothness_se': '0.006383', 'compactness_se': '0.008008', 'concavity_se': '0.00186', 'concave points_se': '0.002924', 'symmetry_se': '0.02571', 'fractal_dimension_se': '0.002015', 'radius_worst': '13.5', 'texture_worst': '23.08', 'perimeter_worst': '85.56', 'area_worst': '564.1', 'smoothness_worst': '0.1038', 'compactness_worst': '0.06624', 'concavity_worst': '0.005579', 'concave points_worst': '0.008772', 'symmetry_worst': '0.2505', 'fractal_dimension_worst': '0.06431'}
{'id': '8912909', 'diagnosis': 'B', 'radius_mean': '11.94', 'texture_mean': '20.76', 'perimeter_mean': '77.87', 'area_mean': '441', 'smoothness_mean': '0.08605', 'compactness_mean': '0.1011', 'concavity_mean': '0.06574', 'concave points_mean': '0.03791', 'symmetry_mean': '0.1588', 'fractal_dimension_mean': '0.06766', 'radius_se': '0.2742', 'texture_se': '1.39', 'perimeter_se': '3.198', 'area_se': '21.91', 'smoothness_se': '0.006719', 'compactness_se': '0.05156', 'concavity_se': '0.04387', 'concave points_se': '0.01633', 'symmetry_se': '0.01872', 'fractal_dimension_se': '0.008015', 'radius_worst': '13.24', 'texture_worst': '27.29', 'perimeter_worst': '92.2', 'area_worst': '546.1', 'smoothness_worst': '0.1116', 'compactness_worst': '0.2813', 'concavity_worst': '0.2365', 'concave points_worst': '0.1155', 'symmetry_worst': '0.2465', 'fractal_dimension_worst': '0.09981'}
{'id': '8913', 'diagnosis': 'B', 'radius_mean': '12.89', 'texture_mean': '13.12', 'perimeter_mean': '81.89', 'area_mean': '515.9', 'smoothness_mean': '0.06955', 'compactness_mean': '0.03729', 'concavity_mean': '0.0226', 'concave points_mean': '0.01171', 'symmetry_mean': '0.1337', 'fractal_dimension_mean': '0.05581', 'radius_se': '0.1532', 'texture_se': '0.469', 'perimeter_se': '1.115', 'area_se': '12.68', 'smoothness_se': '0.004731', 'compactness_se': '0.01345', 'concavity_se': '0.01652', 'concave points_se': '0.005905', 'symmetry_se': '0.01619', 'fractal_dimension_se': '0.002081', 'radius_worst': '13.62', 'texture_worst': '15.54', 'perimeter_worst': '87.4', 'area_worst': '577', 'smoothness_worst': '0.09616', 'compactness_worst': '0.1147', 'concavity_worst': '0.1186', 'concave points_worst': '0.05366', 'symmetry_worst': '0.2309', 'fractal_dimension_worst': '0.06915'}
{'id': '8913049', 'diagnosis': 'B', 'radius_mean': '11.26', 'texture_mean': '19.96', 'perimeter_mean': '73.72', 'area_mean': '394.1', 'smoothness_mean': '0.0802', 'compactness_mean': '0.1181', 'concavity_mean': '0.09274', 'concave points_mean': '0.05588', 'symmetry_mean': '0.2595', 'fractal_dimension_mean': '0.06233', 'radius_se': '0.4866', 'texture_se': '1.905', 'perimeter_se': '2.877', 'area_se': '34.68', 'smoothness_se': '0.01574', 'compactness_se': '0.08262', 'concavity_se': '0.08099', 'concave points_se': '0.03487', 'symmetry_se': '0.03418', 'fractal_dimension_se': '0.006517', 'radius_worst': '11.86', 'texture_worst': '22.33', 'perimeter_worst': '78.27', 'area_worst': '437.6', 'smoothness_worst': '0.1028', 'compactness_worst': '0.1843', 'concavity_worst': '0.1546', 'concave points_worst': '0.09314', 'symmetry_worst': '0.2955', 'fractal_dimension_worst': '0.07009'}
{'id': '89143601', 'diagnosis': 'B', 'radius_mean': '11.37', 'texture_mean': '18.89', 'perimeter_mean': '72.17', 'area_mean': '396', 'smoothness_mean': '0.08713', 'compactness_mean': '0.05008', 'concavity_mean': '0.02399', 'concave points_mean': '0.02173', 'symmetry_mean': '0.2013', 'fractal_dimension_mean': '0.05955', 'radius_se': '0.2656', 'texture_se': '1.974', 'perimeter_se': '1.954', 'area_se': '17.49', 'smoothness_se': '0.006538', 'compactness_se': '0.01395', 'concavity_se': '0.01376', 'concave points_se': '0.009924', 'symmetry_se': '0.03416', 'fractal_dimension_se': '0.002928', 'radius_worst': '12.36', 'texture_worst': '26.14', 'perimeter_worst': '79.29', 'area_worst': '459.3', 'smoothness_worst': '0.1118', 'compactness_worst': '0.09708', 'concavity_worst': '0.07529', 'concave points_worst': '0.06203', 'symmetry_worst': '0.3267', 'fractal_dimension_worst': '0.06994'}
{'id': '89143602', 'diagnosis': 'B', 'radius_mean': '14.41', 'texture_mean': '19.73', 'perimeter_mean': '96.03', 'area_mean': '651', 'smoothness_mean': '0.08757', 'compactness_mean': '0.1676', 'concavity_mean': '0.1362', 'concave points_mean': '0.06602', 'symmetry_mean': '0.1714', 'fractal_dimension_mean': '0.07192', 'radius_se': '0.8811', 'texture_se': '1.77', 'perimeter_se': '4.36', 'area_se': '77.11', 'smoothness_se': '0.007762', 'compactness_se': '0.1064', 'concavity_se': '0.0996', 'concave points_se': '0.02771', 'symmetry_se': '0.04077', 'fractal_dimension_se': '0.02286', 'radius_worst': '15.77', 'texture_worst': '22.13', 'perimeter_worst': '101.7', 'area_worst': '767.3', 'smoothness_worst': '0.09983', 'compactness_worst': '0.2472', 'concavity_worst': '0.222', 'concave points_worst': '0.1021', 'symmetry_worst': '0.2272', 'fractal_dimension_worst': '0.08799'}
{'id': '8915', 'diagnosis': 'B', 'radius_mean': '14.96', 'texture_mean': '19.1', 'perimeter_mean': '97.03', 'area_mean': '687.3', 'smoothness_mean': '0.08992', 'compactness_mean': '0.09823', 'concavity_mean': '0.0594', 'concave points_mean': '0.04819', 'symmetry_mean': '0.1879', 'fractal_dimension_mean': '0.05852', 'radius_se': '0.2877', 'texture_se': '0.948', 'perimeter_se': '2.171', 'area_se': '24.87', 'smoothness_se': '0.005332', 'compactness_se': '0.02115', 'concavity_se': '0.01536', 'concave points_se': '0.01187', 'symmetry_se': '0.01522', 'fractal_dimension_se': '0.002815', 'radius_worst': '16.25', 'texture_worst': '26.19', 'perimeter_worst': '109.1', 'area_worst': '809.8', 'smoothness_worst': '0.1313', 'compactness_worst': '0.303', 'concavity_worst': '0.1804', 'concave points_worst': '0.1489', 'symmetry_worst': '0.2962', 'fractal_dimension_worst': '0.08472'}
{'id': '891670', 'diagnosis': 'B', 'radius_mean': '12.95', 'texture_mean': '16.02', 'perimeter_mean': '83.14', 'area_mean': '513.7', 'smoothness_mean': '0.1005', 'compactness_mean': '0.07943', 'concavity_mean': '0.06155', 'concave points_mean': '0.0337', 'symmetry_mean': '0.173', 'fractal_dimension_mean': '0.0647', 'radius_se': '0.2094', 'texture_se': '0.7636', 'perimeter_se': '1.231', 'area_se': '17.67', 'smoothness_se': '0.008725', 'compactness_se': '0.02003', 'concavity_se': '0.02335', 'concave points_se': '0.01132', 'symmetry_se': '0.02625', 'fractal_dimension_se': '0.004726', 'radius_worst': '13.74', 'texture_worst': '19.93', 'perimeter_worst': '88.81', 'area_worst': '585.4', 'smoothness_worst': '0.1483', 'compactness_worst': '0.2068', 'concavity_worst': '0.2241', 'concave points_worst': '0.1056', 'symmetry_worst': '0.338', 'fractal_dimension_worst': '0.09584'}
{'id': '891703', 'diagnosis': 'B', 'radius_mean': '11.85', 'texture_mean': '17.46', 'perimeter_mean': '75.54', 'area_mean': '432.7', 'smoothness_mean': '0.08372', 'compactness_mean': '0.05642', 'concavity_mean': '0.02688', 'concave points_mean': '0.0228', 'symmetry_mean': '0.1875', 'fractal_dimension_mean': '0.05715', 'radius_se': '0.207', 'texture_se': '1.238', 'perimeter_se': '1.234', 'area_se': '13.88', 'smoothness_se': '0.007595', 'compactness_se': '0.015', 'concavity_se': '0.01412', 'concave points_se': '0.008578', 'symmetry_se': '0.01792', 'fractal_dimension_se': '0.001784', 'radius_worst': '13.06', 'texture_worst': '25.75', 'perimeter_worst': '84.35', 'area_worst': '517.8', 'smoothness_worst': '0.1369', 'compactness_worst': '0.1758', 'concavity_worst': '0.1316', 'concave points_worst': '0.0914', 'symmetry_worst': '0.3101', 'fractal_dimension_worst': '0.07007'}
{'id': '891716', 'diagnosis': 'B', 'radius_mean': '12.72', 'texture_mean': '13.78', 'perimeter_mean': '81.78', 'area_mean': '492.1', 'smoothness_mean': '0.09667', 'compactness_mean': '0.08393', 'concavity_mean': '0.01288', 'concave points_mean': '0.01924', 'symmetry_mean': '0.1638', 'fractal_dimension_mean': '0.061', 'radius_se': '0.1807', 'texture_se': '0.6931', 'perimeter_se': '1.34', 'area_se': '13.38', 'smoothness_se': '0.006064', 'compactness_se': '0.0118', 'concavity_se': '0.006564', 'concave points_se': '0.007978', 'symmetry_se': '0.01374', 'fractal_dimension_se': '0.001392', 'radius_worst': '13.5', 'texture_worst': '17.48', 'perimeter_worst': '88.54', 'area_worst': '553.7', 'smoothness_worst': '0.1298', 'compactness_worst': '0.1472', 'concavity_worst': '0.05233', 'concave points_worst': '0.06343', 'symmetry_worst': '0.2369', 'fractal_dimension_worst': '0.06922'}
{'id': '891923', 'diagnosis': 'B', 'radius_mean': '13.77', 'texture_mean': '13.27', 'perimeter_mean': '88.06', 'area_mean': '582.7', 'smoothness_mean': '0.09198', 'compactness_mean': '0.06221', 'concavity_mean': '0.01063', 'concave points_mean': '0.01917', 'symmetry_mean': '0.1592', 'fractal_dimension_mean': '0.05912', 'radius_se': '0.2191', 'texture_se': '0.6946', 'perimeter_se': '1.479', 'area_se': '17.74', 'smoothness_se': '0.004348', 'compactness_se': '0.008153', 'concavity_se': '0.004272', 'concave points_se': '0.006829', 'symmetry_se': '0.02154', 'fractal_dimension_se': '0.001802', 'radius_worst': '14.67', 'texture_worst': '16.93', 'perimeter_worst': '94.17', 'area_worst': '661.1', 'smoothness_worst': '0.117', 'compactness_worst': '0.1072', 'concavity_worst': '0.03732', 'concave points_worst': '0.05802', 'symmetry_worst': '0.2823', 'fractal_dimension_worst': '0.06794'}
{'id': '891936', 'diagnosis': 'B', 'radius_mean': '10.91', 'texture_mean': '12.35', 'perimeter_mean': '69.14', 'area_mean': '363.7', 'smoothness_mean': '0.08518', 'compactness_mean': '0.04721', 'concavity_mean': '0.01236', 'concave points_mean': '0.01369', 'symmetry_mean': '0.1449', 'fractal_dimension_mean': '0.06031', 'radius_se': '0.1753', 'texture_se': '1.027', 'perimeter_se': '1.267', 'area_se': '11.09', 'smoothness_se': '0.003478', 'compactness_se': '0.01221', 'concavity_se': '0.01072', 'concave points_se': '0.009393', 'symmetry_se': '0.02941', 'fractal_dimension_se': '0.003428', 'radius_worst': '11.37', 'texture_worst': '14.82', 'perimeter_worst': '72.42', 'area_worst': '392.2', 'smoothness_worst': '0.09312', 'compactness_worst': '0.07506', 'concavity_worst': '0.02884', 'concave points_worst': '0.03194', 'symmetry_worst': '0.2143', 'fractal_dimension_worst': '0.06643'}
{'id': '892189', 'diagnosis': 'M', 'radius_mean': '11.76', 'texture_mean': '18.14', 'perimeter_mean': '75', 'area_mean': '431.1', 'smoothness_mean': '0.09968', 'compactness_mean': '0.05914', 'concavity_mean': '0.02685', 'concave points_mean': '0.03515', 'symmetry_mean': '0.1619', 'fractal_dimension_mean': '0.06287', 'radius_se': '0.645', 'texture_se': '2.105', 'perimeter_se': '4.138', 'area_se': '49.11', 'smoothness_se': '0.005596', 'compactness_se': '0.01005', 'concavity_se': '0.01272', 'concave points_se': '0.01432', 'symmetry_se': '0.01575', 'fractal_dimension_se': '0.002758', 'radius_worst': '13.36', 'texture_worst': '23.39', 'perimeter_worst': '85.1', 'area_worst': '553.6', 'smoothness_worst': '0.1137', 'compactness_worst': '0.07974', 'concavity_worst': '0.0612', 'concave points_worst': '0.0716', 'symmetry_worst': '0.1978', 'fractal_dimension_worst': '0.06915'}
{'id': '892214', 'diagnosis': 'B', 'radius_mean': '14.26', 'texture_mean': '18.17', 'perimeter_mean': '91.22', 'area_mean': '633.1', 'smoothness_mean': '0.06576', 'compactness_mean': '0.0522', 'concavity_mean': '0.02475', 'concave points_mean': '0.01374', 'symmetry_mean': '0.1635', 'fractal_dimension_mean': '0.05586', 'radius_se': '0.23', 'texture_se': '0.669', 'perimeter_se': '1.661', 'area_se': '20.56', 'smoothness_se': '0.003169', 'compactness_se': '0.01377', 'concavity_se': '0.01079', 'concave points_se': '0.005243', 'symmetry_se': '0.01103', 'fractal_dimension_se': '0.001957', 'radius_worst': '16.22', 'texture_worst': '25.26', 'perimeter_worst': '105.8', 'area_worst': '819.7', 'smoothness_worst': '0.09445', 'compactness_worst': '0.2167', 'concavity_worst': '0.1565', 'concave points_worst': '0.0753', 'symmetry_worst': '0.2636', 'fractal_dimension_worst': '0.07676'}
{'id': '892399', 'diagnosis': 'B', 'radius_mean': '10.51', 'texture_mean': '23.09', 'perimeter_mean': '66.85', 'area_mean': '334.2', 'smoothness_mean': '0.1015', 'compactness_mean': '0.06797', 'concavity_mean': '0.02495', 'concave points_mean': '0.01875', 'symmetry_mean': '0.1695', 'fractal_dimension_mean': '0.06556', 'radius_se': '0.2868', 'texture_se': '1.143', 'perimeter_se': '2.289', 'area_se': '20.56', 'smoothness_se': '0.01017', 'compactness_se': '0.01443', 'concavity_se': '0.01861', 'concave points_se': '0.0125', 'symmetry_se': '0.03464', 'fractal_dimension_se': '0.001971', 'radius_worst': '10.93', 'texture_worst': '24.22', 'perimeter_worst': '70.1', 'area_worst': '362.7', 'smoothness_worst': '0.1143', 'compactness_worst': '0.08614', 'concavity_worst': '0.04158', 'concave points_worst': '0.03125', 'symmetry_worst': '0.2227', 'fractal_dimension_worst': '0.06777'}
{'id': '892438', 'diagnosis': 'M', 'radius_mean': '19.53', 'texture_mean': '18.9', 'perimeter_mean': '129.5', 'area_mean': '1217', 'smoothness_mean': '0.115', 'compactness_mean': '0.1642', 'concavity_mean': '0.2197', 'concave points_mean': '0.1062', 'symmetry_mean': '0.1792', 'fractal_dimension_mean': '0.06552', 'radius_se': '1.111', 'texture_se': '1.161', 'perimeter_se': '7.237', 'area_se': '133', 'smoothness_se': '0.006056', 'compactness_se': '0.03203', 'concavity_se': '0.05638', 'concave points_se': '0.01733', 'symmetry_se': '0.01884', 'fractal_dimension_se': '0.004787', 'radius_worst': '25.93', 'texture_worst': '26.24', 'perimeter_worst': '171.1', 'area_worst': '2053', 'smoothness_worst': '0.1495', 'compactness_worst': '0.4116', 'concavity_worst': '0.6121', 'concave points_worst': '0.198', 'symmetry_worst': '0.2968', 'fractal_dimension_worst': '0.09929'}
{'id': '892604', 'diagnosis': 'B', 'radius_mean': '12.46', 'texture_mean': '19.89', 'perimeter_mean': '80.43', 'area_mean': '471.3', 'smoothness_mean': '0.08451', 'compactness_mean': '0.1014', 'concavity_mean': '0.0683', 'concave points_mean': '0.03099', 'symmetry_mean': '0.1781', 'fractal_dimension_mean': '0.06249', 'radius_se': '0.3642', 'texture_se': '1.04', 'perimeter_se': '2.579', 'area_se': '28.32', 'smoothness_se': '0.00653', 'compactness_se': '0.03369', 'concavity_se': '0.04712', 'concave points_se': '0.01403', 'symmetry_se': '0.0274', 'fractal_dimension_se': '0.004651', 'radius_worst': '13.46', 'texture_worst': '23.07', 'perimeter_worst': '88.13', 'area_worst': '551.3', 'smoothness_worst': '0.105', 'compactness_worst': '0.2158', 'concavity_worst': '0.1904', 'concave points_worst': '0.07625', 'symmetry_worst': '0.2685', 'fractal_dimension_worst': '0.07764'}
{'id': '89263202', 'diagnosis': 'M', 'radius_mean': '20.09', 'texture_mean': '23.86', 'perimeter_mean': '134.7', 'area_mean': '1247', 'smoothness_mean': '0.108', 'compactness_mean': '0.1838', 'concavity_mean': '0.2283', 'concave points_mean': '0.128', 'symmetry_mean': '0.2249', 'fractal_dimension_mean': '0.07469', 'radius_se': '1.072', 'texture_se': '1.743', 'perimeter_se': '7.804', 'area_se': '130.8', 'smoothness_se': '0.007964', 'compactness_se': '0.04732', 'concavity_se': '0.07649', 'concave points_se': '0.01936', 'symmetry_se': '0.02736', 'fractal_dimension_se': '0.005928', 'radius_worst': '23.68', 'texture_worst': '29.43', 'perimeter_worst': '158.8', 'area_worst': '1696', 'smoothness_worst': '0.1347', 'compactness_worst': '0.3391', 'concavity_worst': '0.4932', 'concave points_worst': '0.1923', 'symmetry_worst': '0.3294', 'fractal_dimension_worst': '0.09469'}
{'id': '892657', 'diagnosis': 'B', 'radius_mean': '10.49', 'texture_mean': '18.61', 'perimeter_mean': '66.86', 'area_mean': '334.3', 'smoothness_mean': '0.1068', 'compactness_mean': '0.06678', 'concavity_mean': '0.02297', 'concave points_mean': '0.0178', 'symmetry_mean': '0.1482', 'fractal_dimension_mean': '0.066', 'radius_se': '0.1485', 'texture_se': '1.563', 'perimeter_se': '1.035', 'area_se': '10.08', 'smoothness_se': '0.008875', 'compactness_se': '0.009362', 'concavity_se': '0.01808', 'concave points_se': '0.009199', 'symmetry_se': '0.01791', 'fractal_dimension_se': '0.003317', 'radius_worst': '11.06', 'texture_worst': '24.54', 'perimeter_worst': '70.76', 'area_worst': '375.4', 'smoothness_worst': '0.1413', 'compactness_worst': '0.1044', 'concavity_worst': '0.08423', 'concave points_worst': '0.06528', 'symmetry_worst': '0.2213', 'fractal_dimension_worst': '0.07842'}
{'id': '89296', 'diagnosis': 'B', 'radius_mean': '11.46', 'texture_mean': '18.16', 'perimeter_mean': '73.59', 'area_mean': '403.1', 'smoothness_mean': '0.08853', 'compactness_mean': '0.07694', 'concavity_mean': '0.03344', 'concave points_mean': '0.01502', 'symmetry_mean': '0.1411', 'fractal_dimension_mean': '0.06243', 'radius_se': '0.3278', 'texture_se': '1.059', 'perimeter_se': '2.475', 'area_se': '22.93', 'smoothness_se': '0.006652', 'compactness_se': '0.02652', 'concavity_se': '0.02221', 'concave points_se': '0.007807', 'symmetry_se': '0.01894', 'fractal_dimension_se': '0.003411', 'radius_worst': '12.68', 'texture_worst': '21.61', 'perimeter_worst': '82.69', 'area_worst': '489.8', 'smoothness_worst': '0.1144', 'compactness_worst': '0.1789', 'concavity_worst': '0.1226', 'concave points_worst': '0.05509', 'symmetry_worst': '0.2208', 'fractal_dimension_worst': '0.07638'}
{'id': '893061', 'diagnosis': 'B', 'radius_mean': '11.6', 'texture_mean': '24.49', 'perimeter_mean': '74.23', 'area_mean': '417.2', 'smoothness_mean': '0.07474', 'compactness_mean': '0.05688', 'concavity_mean': '0.01974', 'concave points_mean': '0.01313', 'symmetry_mean': '0.1935', 'fractal_dimension_mean': '0.05878', 'radius_se': '0.2512', 'texture_se': '1.786', 'perimeter_se': '1.961', 'area_se': '18.21', 'smoothness_se': '0.006122', 'compactness_se': '0.02337', 'concavity_se': '0.01596', 'concave points_se': '0.006998', 'symmetry_se': '0.03194', 'fractal_dimension_se': '0.002211', 'radius_worst': '12.44', 'texture_worst': '31.62', 'perimeter_worst': '81.39', 'area_worst': '476.5', 'smoothness_worst': '0.09545', 'compactness_worst': '0.1361', 'concavity_worst': '0.07239', 'concave points_worst': '0.04815', 'symmetry_worst': '0.3244', 'fractal_dimension_worst': '0.06745'}
{'id': '89344', 'diagnosis': 'B', 'radius_mean': '13.2', 'texture_mean': '15.82', 'perimeter_mean': '84.07', 'area_mean': '537.3', 'smoothness_mean': '0.08511', 'compactness_mean': '0.05251', 'concavity_mean': '0.001461', 'concave points_mean': '0.003261', 'symmetry_mean': '0.1632', 'fractal_dimension_mean': '0.05894', 'radius_se': '0.1903', 'texture_se': '0.5735', 'perimeter_se': '1.204', 'area_se': '15.5', 'smoothness_se': '0.003632', 'compactness_se': '0.007861', 'concavity_se': '0.001128', 'concave points_se': '0.002386', 'symmetry_se': '0.01344', 'fractal_dimension_se': '0.002585', 'radius_worst': '14.41', 'texture_worst': '20.45', 'perimeter_worst': '92', 'area_worst': '636.9', 'smoothness_worst': '0.1128', 'compactness_worst': '0.1346', 'concavity_worst': '0.0112', 'concave points_worst': '0.025', 'symmetry_worst': '0.2651', 'fractal_dimension_worst': '0.08385'}
{'id': '89346', 'diagnosis': 'B', 'radius_mean': '9', 'texture_mean': '14.4', 'perimeter_mean': '56.36', 'area_mean': '246.3', 'smoothness_mean': '0.07005', 'compactness_mean': '0.03116', 'concavity_mean': '0.003681', 'concave points_mean': '0.003472', 'symmetry_mean': '0.1788', 'fractal_dimension_mean': '0.06833', 'radius_se': '0.1746', 'texture_se': '1.305', 'perimeter_se': '1.144', 'area_se': '9.789', 'smoothness_se': '0.007389', 'compactness_se': '0.004883', 'concavity_se': '0.003681', 'concave points_se': '0.003472', 'symmetry_se': '0.02701', 'fractal_dimension_se': '0.002153', 'radius_worst': '9.699', 'texture_worst': '20.07', 'perimeter_worst': '60.9', 'area_worst': '285.5', 'smoothness_worst': '0.09861', 'compactness_worst': '0.05232', 'concavity_worst': '0.01472', 'concave points_worst': '0.01389', 'symmetry_worst': '0.2991', 'fractal_dimension_worst': '0.07804'}
{'id': '893526', 'diagnosis': 'B', 'radius_mean': '13.5', 'texture_mean': '12.71', 'perimeter_mean': '85.69', 'area_mean': '566.2', 'smoothness_mean': '0.07376', 'compactness_mean': '0.03614', 'concavity_mean': '0.002758', 'concave points_mean': '0.004419', 'symmetry_mean': '0.1365', 'fractal_dimension_mean': '0.05335', 'radius_se': '0.2244', 'texture_se': '0.6864', 'perimeter_se': '1.509', 'area_se': '20.39', 'smoothness_se': '0.003338', 'compactness_se': '0.003746', 'concavity_se': '0.00203', 'concave points_se': '0.003242', 'symmetry_se': '0.0148', 'fractal_dimension_se': '0.001566', 'radius_worst': '14.97', 'texture_worst': '16.94', 'perimeter_worst': '95.48', 'area_worst': '698.7', 'smoothness_worst': '0.09023', 'compactness_worst': '0.05836', 'concavity_worst': '0.01379', 'concave points_worst': '0.0221', 'symmetry_worst': '0.2267', 'fractal_dimension_worst': '0.06192'}
{'id': '893548', 'diagnosis': 'B', 'radius_mean': '13.05', 'texture_mean': '13.84', 'perimeter_mean': '82.71', 'area_mean': '530.6', 'smoothness_mean': '0.08352', 'compactness_mean': '0.03735', 'concavity_mean': '0.004559', 'concave points_mean': '0.008829', 'symmetry_mean': '0.1453', 'fractal_dimension_mean': '0.05518', 'radius_se': '0.3975', 'texture_se': '0.8285', 'perimeter_se': '2.567', 'area_se': '33.01', 'smoothness_se': '0.004148', 'compactness_se': '0.004711', 'concavity_se': '0.002831', 'concave points_se': '0.004821', 'symmetry_se': '0.01422', 'fractal_dimension_se': '0.002273', 'radius_worst': '14.73', 'texture_worst': '17.4', 'perimeter_worst': '93.96', 'area_worst': '672.4', 'smoothness_worst': '0.1016', 'compactness_worst': '0.05847', 'concavity_worst': '0.01824', 'concave points_worst': '0.03532', 'symmetry_worst': '0.2107', 'fractal_dimension_worst': '0.0658'}
{'id': '893783', 'diagnosis': 'B', 'radius_mean': '11.7', 'texture_mean': '19.11', 'perimeter_mean': '74.33', 'area_mean': '418.7', 'smoothness_mean': '0.08814', 'compactness_mean': '0.05253', 'concavity_mean': '0.01583', 'concave points_mean': '0.01148', 'symmetry_mean': '0.1936', 'fractal_dimension_mean': '0.06128', 'radius_se': '0.1601', 'texture_se': '1.43', 'perimeter_se': '1.109', 'area_se': '11.28', 'smoothness_se': '0.006064', 'compactness_se': '0.00911', 'concavity_se': '0.01042', 'concave points_se': '0.007638', 'symmetry_se': '0.02349', 'fractal_dimension_se': '0.001661', 'radius_worst': '12.61', 'texture_worst': '26.55', 'perimeter_worst': '80.92', 'area_worst': '483.1', 'smoothness_worst': '0.1223', 'compactness_worst': '0.1087', 'concavity_worst': '0.07915', 'concave points_worst': '0.05741', 'symmetry_worst': '0.3487', 'fractal_dimension_worst': '0.06958'}
{'id': '89382601', 'diagnosis': 'B', 'radius_mean': '14.61', 'texture_mean': '15.69', 'perimeter_mean': '92.68', 'area_mean': '664.9', 'smoothness_mean': '0.07618', 'compactness_mean': '0.03515', 'concavity_mean': '0.01447', 'concave points_mean': '0.01877', 'symmetry_mean': '0.1632', 'fractal_dimension_mean': '0.05255', 'radius_se': '0.316', 'texture_se': '0.9115', 'perimeter_se': '1.954', 'area_se': '28.9', 'smoothness_se': '0.005031', 'compactness_se': '0.006021', 'concavity_se': '0.005325', 'concave points_se': '0.006324', 'symmetry_se': '0.01494', 'fractal_dimension_se': '0.0008948', 'radius_worst': '16.46', 'texture_worst': '21.75', 'perimeter_worst': '103.7', 'area_worst': '840.8', 'smoothness_worst': '0.1011', 'compactness_worst': '0.07087', 'concavity_worst': '0.04746', 'concave points_worst': '0.05813', 'symmetry_worst': '0.253', 'fractal_dimension_worst': '0.05695'}
{'id': '89382602', 'diagnosis': 'B', 'radius_mean': '12.76', 'texture_mean': '13.37', 'perimeter_mean': '82.29', 'area_mean': '504.1', 'smoothness_mean': '0.08794', 'compactness_mean': '0.07948', 'concavity_mean': '0.04052', 'concave points_mean': '0.02548', 'symmetry_mean': '0.1601', 'fractal_dimension_mean': '0.0614', 'radius_se': '0.3265', 'texture_se': '0.6594', 'perimeter_se': '2.346', 'area_se': '25.18', 'smoothness_se': '0.006494', 'compactness_se': '0.02768', 'concavity_se': '0.03137', 'concave points_se': '0.01069', 'symmetry_se': '0.01731', 'fractal_dimension_se': '0.004392', 'radius_worst': '14.19', 'texture_worst': '16.4', 'perimeter_worst': '92.04', 'area_worst': '618.8', 'smoothness_worst': '0.1194', 'compactness_worst': '0.2208', 'concavity_worst': '0.1769', 'concave points_worst': '0.08411', 'symmetry_worst': '0.2564', 'fractal_dimension_worst': '0.08253'}
{'id': '893988', 'diagnosis': 'B', 'radius_mean': '11.54', 'texture_mean': '10.72', 'perimeter_mean': '73.73', 'area_mean': '409.1', 'smoothness_mean': '0.08597', 'compactness_mean': '0.05969', 'concavity_mean': '0.01367', 'concave points_mean': '0.008907', 'symmetry_mean': '0.1833', 'fractal_dimension_mean': '0.061', 'radius_se': '0.1312', 'texture_se': '0.3602', 'perimeter_se': '1.107', 'area_se': '9.438', 'smoothness_se': '0.004124', 'compactness_se': '0.0134', 'concavity_se': '0.01003', 'concave points_se': '0.004667', 'symmetry_se': '0.02032', 'fractal_dimension_se': '0.001952', 'radius_worst': '12.34', 'texture_worst': '12.87', 'perimeter_worst': '81.23', 'area_worst': '467.8', 'smoothness_worst': '0.1092', 'compactness_worst': '0.1626', 'concavity_worst': '0.08324', 'concave points_worst': '0.04715', 'symmetry_worst': '0.339', 'fractal_dimension_worst': '0.07434'}
{'id': '894047', 'diagnosis': 'B', 'radius_mean': '8.597', 'texture_mean': '18.6', 'perimeter_mean': '54.09', 'area_mean': '221.2', 'smoothness_mean': '0.1074', 'compactness_mean': '0.05847', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.2163', 'fractal_dimension_mean': '0.07359', 'radius_se': '0.3368', 'texture_se': '2.777', 'perimeter_se': '2.222', 'area_se': '17.81', 'smoothness_se': '0.02075', 'compactness_se': '0.01403', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.06146', 'fractal_dimension_se': '0.00682', 'radius_worst': '8.952', 'texture_worst': '22.44', 'perimeter_worst': '56.65', 'area_worst': '240.1', 'smoothness_worst': '0.1347', 'compactness_worst': '0.07767', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.3142', 'fractal_dimension_worst': '0.08116'}
{'id': '894089', 'diagnosis': 'B', 'radius_mean': '12.49', 'texture_mean': '16.85', 'perimeter_mean': '79.19', 'area_mean': '481.6', 'smoothness_mean': '0.08511', 'compactness_mean': '0.03834', 'concavity_mean': '0.004473', 'concave points_mean': '0.006423', 'symmetry_mean': '0.1215', 'fractal_dimension_mean': '0.05673', 'radius_se': '0.1716', 'texture_se': '0.7151', 'perimeter_se': '1.047', 'area_se': '12.69', 'smoothness_se': '0.004928', 'compactness_se': '0.003012', 'concavity_se': '0.00262', 'concave points_se': '0.00339', 'symmetry_se': '0.01393', 'fractal_dimension_se': '0.001344', 'radius_worst': '13.34', 'texture_worst': '19.71', 'perimeter_worst': '84.48', 'area_worst': '544.2', 'smoothness_worst': '0.1104', 'compactness_worst': '0.04953', 'concavity_worst': '0.01938', 'concave points_worst': '0.02784', 'symmetry_worst': '0.1917', 'fractal_dimension_worst': '0.06174'}
{'id': '894090', 'diagnosis': 'B', 'radius_mean': '12.18', 'texture_mean': '14.08', 'perimeter_mean': '77.25', 'area_mean': '461.4', 'smoothness_mean': '0.07734', 'compactness_mean': '0.03212', 'concavity_mean': '0.01123', 'concave points_mean': '0.005051', 'symmetry_mean': '0.1673', 'fractal_dimension_mean': '0.05649', 'radius_se': '0.2113', 'texture_se': '0.5996', 'perimeter_se': '1.438', 'area_se': '15.82', 'smoothness_se': '0.005343', 'compactness_se': '0.005767', 'concavity_se': '0.01123', 'concave points_se': '0.005051', 'symmetry_se': '0.01977', 'fractal_dimension_se': '0.0009502', 'radius_worst': '12.85', 'texture_worst': '16.47', 'perimeter_worst': '81.6', 'area_worst': '513.1', 'smoothness_worst': '0.1001', 'compactness_worst': '0.05332', 'concavity_worst': '0.04116', 'concave points_worst': '0.01852', 'symmetry_worst': '0.2293', 'fractal_dimension_worst': '0.06037'}
{'id': '894326', 'diagnosis': 'M', 'radius_mean': '18.22', 'texture_mean': '18.87', 'perimeter_mean': '118.7', 'area_mean': '1027', 'smoothness_mean': '0.09746', 'compactness_mean': '0.1117', 'concavity_mean': '0.113', 'concave points_mean': '0.0795', 'symmetry_mean': '0.1807', 'fractal_dimension_mean': '0.05664', 'radius_se': '0.4041', 'texture_se': '0.5503', 'perimeter_se': '2.547', 'area_se': '48.9', 'smoothness_se': '0.004821', 'compactness_se': '0.01659', 'concavity_se': '0.02408', 'concave points_se': '0.01143', 'symmetry_se': '0.01275', 'fractal_dimension_se': '0.002451', 'radius_worst': '21.84', 'texture_worst': '25', 'perimeter_worst': '140.9', 'area_worst': '1485', 'smoothness_worst': '0.1434', 'compactness_worst': '0.2763', 'concavity_worst': '0.3853', 'concave points_worst': '0.1776', 'symmetry_worst': '0.2812', 'fractal_dimension_worst': '0.08198'}
{'id': '894329', 'diagnosis': 'B', 'radius_mean': '9.042', 'texture_mean': '18.9', 'perimeter_mean': '60.07', 'area_mean': '244.5', 'smoothness_mean': '0.09968', 'compactness_mean': '0.1972', 'concavity_mean': '0.1975', 'concave points_mean': '0.04908', 'symmetry_mean': '0.233', 'fractal_dimension_mean': '0.08743', 'radius_se': '0.4653', 'texture_se': '1.911', 'perimeter_se': '3.769', 'area_se': '24.2', 'smoothness_se': '0.009845', 'compactness_se': '0.0659', 'concavity_se': '0.1027', 'concave points_se': '0.02527', 'symmetry_se': '0.03491', 'fractal_dimension_se': '0.007877', 'radius_worst': '10.06', 'texture_worst': '23.4', 'perimeter_worst': '68.62', 'area_worst': '297.1', 'smoothness_worst': '0.1221', 'compactness_worst': '0.3748', 'concavity_worst': '0.4609', 'concave points_worst': '0.1145', 'symmetry_worst': '0.3135', 'fractal_dimension_worst': '0.1055'}
{'id': '894335', 'diagnosis': 'B', 'radius_mean': '12.43', 'texture_mean': '17', 'perimeter_mean': '78.6', 'area_mean': '477.3', 'smoothness_mean': '0.07557', 'compactness_mean': '0.03454', 'concavity_mean': '0.01342', 'concave points_mean': '0.01699', 'symmetry_mean': '0.1472', 'fractal_dimension_mean': '0.05561', 'radius_se': '0.3778', 'texture_se': '2.2', 'perimeter_se': '2.487', 'area_se': '31.16', 'smoothness_se': '0.007357', 'compactness_se': '0.01079', 'concavity_se': '0.009959', 'concave points_se': '0.0112', 'symmetry_se': '0.03433', 'fractal_dimension_se': '0.002961', 'radius_worst': '12.9', 'texture_worst': '20.21', 'perimeter_worst': '81.76', 'area_worst': '515.9', 'smoothness_worst': '0.08409', 'compactness_worst': '0.04712', 'concavity_worst': '0.02237', 'concave points_worst': '0.02832', 'symmetry_worst': '0.1901', 'fractal_dimension_worst': '0.05932'}
{'id': '894604', 'diagnosis': 'B', 'radius_mean': '10.25', 'texture_mean': '16.18', 'perimeter_mean': '66.52', 'area_mean': '324.2', 'smoothness_mean': '0.1061', 'compactness_mean': '0.1111', 'concavity_mean': '0.06726', 'concave points_mean': '0.03965', 'symmetry_mean': '0.1743', 'fractal_dimension_mean': '0.07279', 'radius_se': '0.3677', 'texture_se': '1.471', 'perimeter_se': '1.597', 'area_se': '22.68', 'smoothness_se': '0.01049', 'compactness_se': '0.04265', 'concavity_se': '0.04004', 'concave points_se': '0.01544', 'symmetry_se': '0.02719', 'fractal_dimension_se': '0.007596', 'radius_worst': '11.28', 'texture_worst': '20.61', 'perimeter_worst': '71.53', 'area_worst': '390.4', 'smoothness_worst': '0.1402', 'compactness_worst': '0.236', 'concavity_worst': '0.1898', 'concave points_worst': '0.09744', 'symmetry_worst': '0.2608', 'fractal_dimension_worst': '0.09702'}
{'id': '894618', 'diagnosis': 'M', 'radius_mean': '20.16', 'texture_mean': '19.66', 'perimeter_mean': '131.1', 'area_mean': '1274', 'smoothness_mean': '0.0802', 'compactness_mean': '0.08564', 'concavity_mean': '0.1155', 'concave points_mean': '0.07726', 'symmetry_mean': '0.1928', 'fractal_dimension_mean': '0.05096', 'radius_se': '0.5925', 'texture_se': '0.6863', 'perimeter_se': '3.868', 'area_se': '74.85', 'smoothness_se': '0.004536', 'compactness_se': '0.01376', 'concavity_se': '0.02645', 'concave points_se': '0.01247', 'symmetry_se': '0.02193', 'fractal_dimension_se': '0.001589', 'radius_worst': '23.06', 'texture_worst': '23.03', 'perimeter_worst': '150.2', 'area_worst': '1657', 'smoothness_worst': '0.1054', 'compactness_worst': '0.1537', 'concavity_worst': '0.2606', 'concave points_worst': '0.1425', 'symmetry_worst': '0.3055', 'fractal_dimension_worst': '0.05933'}
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{'id': '895100', 'diagnosis': 'M', 'radius_mean': '20.34', 'texture_mean': '21.51', 'perimeter_mean': '135.9', 'area_mean': '1264', 'smoothness_mean': '0.117', 'compactness_mean': '0.1875', 'concavity_mean': '0.2565', 'concave points_mean': '0.1504', 'symmetry_mean': '0.2569', 'fractal_dimension_mean': '0.0667', 'radius_se': '0.5702', 'texture_se': '1.023', 'perimeter_se': '4.012', 'area_se': '69.06', 'smoothness_se': '0.005485', 'compactness_se': '0.02431', 'concavity_se': '0.0319', 'concave points_se': '0.01369', 'symmetry_se': '0.02768', 'fractal_dimension_se': '0.003345', 'radius_worst': '25.3', 'texture_worst': '31.86', 'perimeter_worst': '171.1', 'area_worst': '1938', 'smoothness_worst': '0.1592', 'compactness_worst': '0.4492', 'concavity_worst': '0.5344', 'concave points_worst': '0.2685', 'symmetry_worst': '0.5558', 'fractal_dimension_worst': '0.1024'}
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{'id': '89511502', 'diagnosis': 'B', 'radius_mean': '12.67', 'texture_mean': '17.3', 'perimeter_mean': '81.25', 'area_mean': '489.9', 'smoothness_mean': '0.1028', 'compactness_mean': '0.07664', 'concavity_mean': '0.03193', 'concave points_mean': '0.02107', 'symmetry_mean': '0.1707', 'fractal_dimension_mean': '0.05984', 'radius_se': '0.21', 'texture_se': '0.9505', 'perimeter_se': '1.566', 'area_se': '17.61', 'smoothness_se': '0.006809', 'compactness_se': '0.009514', 'concavity_se': '0.01329', 'concave points_se': '0.006474', 'symmetry_se': '0.02057', 'fractal_dimension_se': '0.001784', 'radius_worst': '13.71', 'texture_worst': '21.1', 'perimeter_worst': '88.7', 'area_worst': '574.4', 'smoothness_worst': '0.1384', 'compactness_worst': '0.1212', 'concavity_worst': '0.102', 'concave points_worst': '0.05602', 'symmetry_worst': '0.2688', 'fractal_dimension_worst': '0.06888'}
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{'id': '895299', 'diagnosis': 'B', 'radius_mean': '12.03', 'texture_mean': '17.93', 'perimeter_mean': '76.09', 'area_mean': '446', 'smoothness_mean': '0.07683', 'compactness_mean': '0.03892', 'concavity_mean': '0.001546', 'concave points_mean': '0.005592', 'symmetry_mean': '0.1382', 'fractal_dimension_mean': '0.0607', 'radius_se': '0.2335', 'texture_se': '0.9097', 'perimeter_se': '1.466', 'area_se': '16.97', 'smoothness_se': '0.004729', 'compactness_se': '0.006887', 'concavity_se': '0.001184', 'concave points_se': '0.003951', 'symmetry_se': '0.01466', 'fractal_dimension_se': '0.001755', 'radius_worst': '13.07', 'texture_worst': '22.25', 'perimeter_worst': '82.74', 'area_worst': '523.4', 'smoothness_worst': '0.1013', 'compactness_worst': '0.0739', 'concavity_worst': '0.007732', 'concave points_worst': '0.02796', 'symmetry_worst': '0.2171', 'fractal_dimension_worst': '0.07037'}
{'id': '8953902', 'diagnosis': 'M', 'radius_mean': '16.27', 'texture_mean': '20.71', 'perimeter_mean': '106.9', 'area_mean': '813.7', 'smoothness_mean': '0.1169', 'compactness_mean': '0.1319', 'concavity_mean': '0.1478', 'concave points_mean': '0.08488', 'symmetry_mean': '0.1948', 'fractal_dimension_mean': '0.06277', 'radius_se': '0.4375', 'texture_se': '1.232', 'perimeter_se': '3.27', 'area_se': '44.41', 'smoothness_se': '0.006697', 'compactness_se': '0.02083', 'concavity_se': '0.03248', 'concave points_se': '0.01392', 'symmetry_se': '0.01536', 'fractal_dimension_se': '0.002789', 'radius_worst': '19.28', 'texture_worst': '30.38', 'perimeter_worst': '129.8', 'area_worst': '1121', 'smoothness_worst': '0.159', 'compactness_worst': '0.2947', 'concavity_worst': '0.3597', 'concave points_worst': '0.1583', 'symmetry_worst': '0.3103', 'fractal_dimension_worst': '0.082'}
{'id': '895633', 'diagnosis': 'M', 'radius_mean': '16.26', 'texture_mean': '21.88', 'perimeter_mean': '107.5', 'area_mean': '826.8', 'smoothness_mean': '0.1165', 'compactness_mean': '0.1283', 'concavity_mean': '0.1799', 'concave points_mean': '0.07981', 'symmetry_mean': '0.1869', 'fractal_dimension_mean': '0.06532', 'radius_se': '0.5706', 'texture_se': '1.457', 'perimeter_se': '2.961', 'area_se': '57.72', 'smoothness_se': '0.01056', 'compactness_se': '0.03756', 'concavity_se': '0.05839', 'concave points_se': '0.01186', 'symmetry_se': '0.04022', 'fractal_dimension_se': '0.006187', 'radius_worst': '17.73', 'texture_worst': '25.21', 'perimeter_worst': '113.7', 'area_worst': '975.2', 'smoothness_worst': '0.1426', 'compactness_worst': '0.2116', 'concavity_worst': '0.3344', 'concave points_worst': '0.1047', 'symmetry_worst': '0.2736', 'fractal_dimension_worst': '0.07953'}
{'id': '896839', 'diagnosis': 'M', 'radius_mean': '16.03', 'texture_mean': '15.51', 'perimeter_mean': '105.8', 'area_mean': '793.2', 'smoothness_mean': '0.09491', 'compactness_mean': '0.1371', 'concavity_mean': '0.1204', 'concave points_mean': '0.07041', 'symmetry_mean': '0.1782', 'fractal_dimension_mean': '0.05976', 'radius_se': '0.3371', 'texture_se': '0.7476', 'perimeter_se': '2.629', 'area_se': '33.27', 'smoothness_se': '0.005839', 'compactness_se': '0.03245', 'concavity_se': '0.03715', 'concave points_se': '0.01459', 'symmetry_se': '0.01467', 'fractal_dimension_se': '0.003121', 'radius_worst': '18.76', 'texture_worst': '21.98', 'perimeter_worst': '124.3', 'area_worst': '1070', 'smoothness_worst': '0.1435', 'compactness_worst': '0.4478', 'concavity_worst': '0.4956', 'concave points_worst': '0.1981', 'symmetry_worst': '0.3019', 'fractal_dimension_worst': '0.09124'}
{'id': '896864', 'diagnosis': 'B', 'radius_mean': '12.98', 'texture_mean': '19.35', 'perimeter_mean': '84.52', 'area_mean': '514', 'smoothness_mean': '0.09579', 'compactness_mean': '0.1125', 'concavity_mean': '0.07107', 'concave points_mean': '0.0295', 'symmetry_mean': '0.1761', 'fractal_dimension_mean': '0.0654', 'radius_se': '0.2684', 'texture_se': '0.5664', 'perimeter_se': '2.465', 'area_se': '20.65', 'smoothness_se': '0.005727', 'compactness_se': '0.03255', 'concavity_se': '0.04393', 'concave points_se': '0.009811', 'symmetry_se': '0.02751', 'fractal_dimension_se': '0.004572', 'radius_worst': '14.42', 'texture_worst': '21.95', 'perimeter_worst': '99.21', 'area_worst': '634.3', 'smoothness_worst': '0.1288', 'compactness_worst': '0.3253', 'concavity_worst': '0.3439', 'concave points_worst': '0.09858', 'symmetry_worst': '0.3596', 'fractal_dimension_worst': '0.09166'}
{'id': '897132', 'diagnosis': 'B', 'radius_mean': '11.22', 'texture_mean': '19.86', 'perimeter_mean': '71.94', 'area_mean': '387.3', 'smoothness_mean': '0.1054', 'compactness_mean': '0.06779', 'concavity_mean': '0.005006', 'concave points_mean': '0.007583', 'symmetry_mean': '0.194', 'fractal_dimension_mean': '0.06028', 'radius_se': '0.2976', 'texture_se': '1.966', 'perimeter_se': '1.959', 'area_se': '19.62', 'smoothness_se': '0.01289', 'compactness_se': '0.01104', 'concavity_se': '0.003297', 'concave points_se': '0.004967', 'symmetry_se': '0.04243', 'fractal_dimension_se': '0.001963', 'radius_worst': '11.98', 'texture_worst': '25.78', 'perimeter_worst': '76.91', 'area_worst': '436.1', 'smoothness_worst': '0.1424', 'compactness_worst': '0.09669', 'concavity_worst': '0.01335', 'concave points_worst': '0.02022', 'symmetry_worst': '0.3292', 'fractal_dimension_worst': '0.06522'}
{'id': '897137', 'diagnosis': 'B', 'radius_mean': '11.25', 'texture_mean': '14.78', 'perimeter_mean': '71.38', 'area_mean': '390', 'smoothness_mean': '0.08306', 'compactness_mean': '0.04458', 'concavity_mean': '0.0009737', 'concave points_mean': '0.002941', 'symmetry_mean': '0.1773', 'fractal_dimension_mean': '0.06081', 'radius_se': '0.2144', 'texture_se': '0.9961', 'perimeter_se': '1.529', 'area_se': '15.07', 'smoothness_se': '0.005617', 'compactness_se': '0.007124', 'concavity_se': '0.0009737', 'concave points_se': '0.002941', 'symmetry_se': '0.017', 'fractal_dimension_se': '0.00203', 'radius_worst': '12.76', 'texture_worst': '22.06', 'perimeter_worst': '82.08', 'area_worst': '492.7', 'smoothness_worst': '0.1166', 'compactness_worst': '0.09794', 'concavity_worst': '0.005518', 'concave points_worst': '0.01667', 'symmetry_worst': '0.2815', 'fractal_dimension_worst': '0.07418'}
{'id': '897374', 'diagnosis': 'B', 'radius_mean': '12.3', 'texture_mean': '19.02', 'perimeter_mean': '77.88', 'area_mean': '464.4', 'smoothness_mean': '0.08313', 'compactness_mean': '0.04202', 'concavity_mean': '0.007756', 'concave points_mean': '0.008535', 'symmetry_mean': '0.1539', 'fractal_dimension_mean': '0.05945', 'radius_se': '0.184', 'texture_se': '1.532', 'perimeter_se': '1.199', 'area_se': '13.24', 'smoothness_se': '0.007881', 'compactness_se': '0.008432', 'concavity_se': '0.007004', 'concave points_se': '0.006522', 'symmetry_se': '0.01939', 'fractal_dimension_se': '0.002222', 'radius_worst': '13.35', 'texture_worst': '28.46', 'perimeter_worst': '84.53', 'area_worst': '544.3', 'smoothness_worst': '0.1222', 'compactness_worst': '0.09052', 'concavity_worst': '0.03619', 'concave points_worst': '0.03983', 'symmetry_worst': '0.2554', 'fractal_dimension_worst': '0.07207'}
{'id': '89742801', 'diagnosis': 'M', 'radius_mean': '17.06', 'texture_mean': '21', 'perimeter_mean': '111.8', 'area_mean': '918.6', 'smoothness_mean': '0.1119', 'compactness_mean': '0.1056', 'concavity_mean': '0.1508', 'concave points_mean': '0.09934', 'symmetry_mean': '0.1727', 'fractal_dimension_mean': '0.06071', 'radius_se': '0.8161', 'texture_se': '2.129', 'perimeter_se': '6.076', 'area_se': '87.17', 'smoothness_se': '0.006455', 'compactness_se': '0.01797', 'concavity_se': '0.04502', 'concave points_se': '0.01744', 'symmetry_se': '0.01829', 'fractal_dimension_se': '0.003733', 'radius_worst': '20.99', 'texture_worst': '33.15', 'perimeter_worst': '143.2', 'area_worst': '1362', 'smoothness_worst': '0.1449', 'compactness_worst': '0.2053', 'concavity_worst': '0.392', 'concave points_worst': '0.1827', 'symmetry_worst': '0.2623', 'fractal_dimension_worst': '0.07599'}
{'id': '897604', 'diagnosis': 'B', 'radius_mean': '12.99', 'texture_mean': '14.23', 'perimeter_mean': '84.08', 'area_mean': '514.3', 'smoothness_mean': '0.09462', 'compactness_mean': '0.09965', 'concavity_mean': '0.03738', 'concave points_mean': '0.02098', 'symmetry_mean': '0.1652', 'fractal_dimension_mean': '0.07238', 'radius_se': '0.1814', 'texture_se': '0.6412', 'perimeter_se': '0.9219', 'area_se': '14.41', 'smoothness_se': '0.005231', 'compactness_se': '0.02305', 'concavity_se': '0.03113', 'concave points_se': '0.007315', 'symmetry_se': '0.01639', 'fractal_dimension_se': '0.005701', 'radius_worst': '13.72', 'texture_worst': '16.91', 'perimeter_worst': '87.38', 'area_worst': '576', 'smoothness_worst': '0.1142', 'compactness_worst': '0.1975', 'concavity_worst': '0.145', 'concave points_worst': '0.0585', 'symmetry_worst': '0.2432', 'fractal_dimension_worst': '0.1009'}
{'id': '897630', 'diagnosis': 'M', 'radius_mean': '18.77', 'texture_mean': '21.43', 'perimeter_mean': '122.9', 'area_mean': '1092', 'smoothness_mean': '0.09116', 'compactness_mean': '0.1402', 'concavity_mean': '0.106', 'concave points_mean': '0.0609', 'symmetry_mean': '0.1953', 'fractal_dimension_mean': '0.06083', 'radius_se': '0.6422', 'texture_se': '1.53', 'perimeter_se': '4.369', 'area_se': '88.25', 'smoothness_se': '0.007548', 'compactness_se': '0.03897', 'concavity_se': '0.03914', 'concave points_se': '0.01816', 'symmetry_se': '0.02168', 'fractal_dimension_se': '0.004445', 'radius_worst': '24.54', 'texture_worst': '34.37', 'perimeter_worst': '161.1', 'area_worst': '1873', 'smoothness_worst': '0.1498', 'compactness_worst': '0.4827', 'concavity_worst': '0.4634', 'concave points_worst': '0.2048', 'symmetry_worst': '0.3679', 'fractal_dimension_worst': '0.0987'}
{'id': '897880', 'diagnosis': 'B', 'radius_mean': '10.05', 'texture_mean': '17.53', 'perimeter_mean': '64.41', 'area_mean': '310.8', 'smoothness_mean': '0.1007', 'compactness_mean': '0.07326', 'concavity_mean': '0.02511', 'concave points_mean': '0.01775', 'symmetry_mean': '0.189', 'fractal_dimension_mean': '0.06331', 'radius_se': '0.2619', 'texture_se': '2.015', 'perimeter_se': '1.778', 'area_se': '16.85', 'smoothness_se': '0.007803', 'compactness_se': '0.01449', 'concavity_se': '0.0169', 'concave points_se': '0.008043', 'symmetry_se': '0.021', 'fractal_dimension_se': '0.002778', 'radius_worst': '11.16', 'texture_worst': '26.84', 'perimeter_worst': '71.98', 'area_worst': '384', 'smoothness_worst': '0.1402', 'compactness_worst': '0.1402', 'concavity_worst': '0.1055', 'concave points_worst': '0.06499', 'symmetry_worst': '0.2894', 'fractal_dimension_worst': '0.07664'}
{'id': '89812', 'diagnosis': 'M', 'radius_mean': '23.51', 'texture_mean': '24.27', 'perimeter_mean': '155.1', 'area_mean': '1747', 'smoothness_mean': '0.1069', 'compactness_mean': '0.1283', 'concavity_mean': '0.2308', 'concave points_mean': '0.141', 'symmetry_mean': '0.1797', 'fractal_dimension_mean': '0.05506', 'radius_se': '1.009', 'texture_se': '0.9245', 'perimeter_se': '6.462', 'area_se': '164.1', 'smoothness_se': '0.006292', 'compactness_se': '0.01971', 'concavity_se': '0.03582', 'concave points_se': '0.01301', 'symmetry_se': '0.01479', 'fractal_dimension_se': '0.003118', 'radius_worst': '30.67', 'texture_worst': '30.73', 'perimeter_worst': '202.4', 'area_worst': '2906', 'smoothness_worst': '0.1515', 'compactness_worst': '0.2678', 'concavity_worst': '0.4819', 'concave points_worst': '0.2089', 'symmetry_worst': '0.2593', 'fractal_dimension_worst': '0.07738'}
{'id': '89813', 'diagnosis': 'B', 'radius_mean': '14.42', 'texture_mean': '16.54', 'perimeter_mean': '94.15', 'area_mean': '641.2', 'smoothness_mean': '0.09751', 'compactness_mean': '0.1139', 'concavity_mean': '0.08007', 'concave points_mean': '0.04223', 'symmetry_mean': '0.1912', 'fractal_dimension_mean': '0.06412', 'radius_se': '0.3491', 'texture_se': '0.7706', 'perimeter_se': '2.677', 'area_se': '32.14', 'smoothness_se': '0.004577', 'compactness_se': '0.03053', 'concavity_se': '0.0384', 'concave points_se': '0.01243', 'symmetry_se': '0.01873', 'fractal_dimension_se': '0.003373', 'radius_worst': '16.67', 'texture_worst': '21.51', 'perimeter_worst': '111.4', 'area_worst': '862.1', 'smoothness_worst': '0.1294', 'compactness_worst': '0.3371', 'concavity_worst': '0.3755', 'concave points_worst': '0.1414', 'symmetry_worst': '0.3053', 'fractal_dimension_worst': '0.08764'}
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{'id': '89827', 'diagnosis': 'B', 'radius_mean': '11.06', 'texture_mean': '14.96', 'perimeter_mean': '71.49', 'area_mean': '373.9', 'smoothness_mean': '0.1033', 'compactness_mean': '0.09097', 'concavity_mean': '0.05397', 'concave points_mean': '0.03341', 'symmetry_mean': '0.1776', 'fractal_dimension_mean': '0.06907', 'radius_se': '0.1601', 'texture_se': '0.8225', 'perimeter_se': '1.355', 'area_se': '10.8', 'smoothness_se': '0.007416', 'compactness_se': '0.01877', 'concavity_se': '0.02758', 'concave points_se': '0.0101', 'symmetry_se': '0.02348', 'fractal_dimension_se': '0.002917', 'radius_worst': '11.92', 'texture_worst': '19.9', 'perimeter_worst': '79.76', 'area_worst': '440', 'smoothness_worst': '0.1418', 'compactness_worst': '0.221', 'concavity_worst': '0.2299', 'concave points_worst': '0.1075', 'symmetry_worst': '0.3301', 'fractal_dimension_worst': '0.0908'}
{'id': '898431', 'diagnosis': 'M', 'radius_mean': '19.68', 'texture_mean': '21.68', 'perimeter_mean': '129.9', 'area_mean': '1194', 'smoothness_mean': '0.09797', 'compactness_mean': '0.1339', 'concavity_mean': '0.1863', 'concave points_mean': '0.1103', 'symmetry_mean': '0.2082', 'fractal_dimension_mean': '0.05715', 'radius_se': '0.6226', 'texture_se': '2.284', 'perimeter_se': '5.173', 'area_se': '67.66', 'smoothness_se': '0.004756', 'compactness_se': '0.03368', 'concavity_se': '0.04345', 'concave points_se': '0.01806', 'symmetry_se': '0.03756', 'fractal_dimension_se': '0.003288', 'radius_worst': '22.75', 'texture_worst': '34.66', 'perimeter_worst': '157.6', 'area_worst': '1540', 'smoothness_worst': '0.1218', 'compactness_worst': '0.3458', 'concavity_worst': '0.4734', 'concave points_worst': '0.2255', 'symmetry_worst': '0.4045', 'fractal_dimension_worst': '0.07918'}
{'id': '89864002', 'diagnosis': 'B', 'radius_mean': '11.71', 'texture_mean': '15.45', 'perimeter_mean': '75.03', 'area_mean': '420.3', 'smoothness_mean': '0.115', 'compactness_mean': '0.07281', 'concavity_mean': '0.04006', 'concave points_mean': '0.0325', 'symmetry_mean': '0.2009', 'fractal_dimension_mean': '0.06506', 'radius_se': '0.3446', 'texture_se': '0.7395', 'perimeter_se': '2.355', 'area_se': '24.53', 'smoothness_se': '0.009536', 'compactness_se': '0.01097', 'concavity_se': '0.01651', 'concave points_se': '0.01121', 'symmetry_se': '0.01953', 'fractal_dimension_se': '0.0031', 'radius_worst': '13.06', 'texture_worst': '18.16', 'perimeter_worst': '84.16', 'area_worst': '516.4', 'smoothness_worst': '0.146', 'compactness_worst': '0.1115', 'concavity_worst': '0.1087', 'concave points_worst': '0.07864', 'symmetry_worst': '0.2765', 'fractal_dimension_worst': '0.07806'}
{'id': '898677', 'diagnosis': 'B', 'radius_mean': '10.26', 'texture_mean': '14.71', 'perimeter_mean': '66.2', 'area_mean': '321.6', 'smoothness_mean': '0.09882', 'compactness_mean': '0.09159', 'concavity_mean': '0.03581', 'concave points_mean': '0.02037', 'symmetry_mean': '0.1633', 'fractal_dimension_mean': '0.07005', 'radius_se': '0.338', 'texture_se': '2.509', 'perimeter_se': '2.394', 'area_se': '19.33', 'smoothness_se': '0.01736', 'compactness_se': '0.04671', 'concavity_se': '0.02611', 'concave points_se': '0.01296', 'symmetry_se': '0.03675', 'fractal_dimension_se': '0.006758', 'radius_worst': '10.88', 'texture_worst': '19.48', 'perimeter_worst': '70.89', 'area_worst': '357.1', 'smoothness_worst': '0.136', 'compactness_worst': '0.1636', 'concavity_worst': '0.07162', 'concave points_worst': '0.04074', 'symmetry_worst': '0.2434', 'fractal_dimension_worst': '0.08488'}
{'id': '898678', 'diagnosis': 'B', 'radius_mean': '12.06', 'texture_mean': '18.9', 'perimeter_mean': '76.66', 'area_mean': '445.3', 'smoothness_mean': '0.08386', 'compactness_mean': '0.05794', 'concavity_mean': '0.00751', 'concave points_mean': '0.008488', 'symmetry_mean': '0.1555', 'fractal_dimension_mean': '0.06048', 'radius_se': '0.243', 'texture_se': '1.152', 'perimeter_se': '1.559', 'area_se': '18.02', 'smoothness_se': '0.00718', 'compactness_se': '0.01096', 'concavity_se': '0.005832', 'concave points_se': '0.005495', 'symmetry_se': '0.01982', 'fractal_dimension_se': '0.002754', 'radius_worst': '13.64', 'texture_worst': '27.06', 'perimeter_worst': '86.54', 'area_worst': '562.6', 'smoothness_worst': '0.1289', 'compactness_worst': '0.1352', 'concavity_worst': '0.04506', 'concave points_worst': '0.05093', 'symmetry_worst': '0.288', 'fractal_dimension_worst': '0.08083'}
{'id': '89869', 'diagnosis': 'B', 'radius_mean': '14.76', 'texture_mean': '14.74', 'perimeter_mean': '94.87', 'area_mean': '668.7', 'smoothness_mean': '0.08875', 'compactness_mean': '0.0778', 'concavity_mean': '0.04608', 'concave points_mean': '0.03528', 'symmetry_mean': '0.1521', 'fractal_dimension_mean': '0.05912', 'radius_se': '0.3428', 'texture_se': '0.3981', 'perimeter_se': '2.537', 'area_se': '29.06', 'smoothness_se': '0.004732', 'compactness_se': '0.01506', 'concavity_se': '0.01855', 'concave points_se': '0.01067', 'symmetry_se': '0.02163', 'fractal_dimension_se': '0.002783', 'radius_worst': '17.27', 'texture_worst': '17.93', 'perimeter_worst': '114.2', 'area_worst': '880.8', 'smoothness_worst': '0.122', 'compactness_worst': '0.2009', 'concavity_worst': '0.2151', 'concave points_worst': '0.1251', 'symmetry_worst': '0.3109', 'fractal_dimension_worst': '0.08187'}
{'id': '898690', 'diagnosis': 'B', 'radius_mean': '11.47', 'texture_mean': '16.03', 'perimeter_mean': '73.02', 'area_mean': '402.7', 'smoothness_mean': '0.09076', 'compactness_mean': '0.05886', 'concavity_mean': '0.02587', 'concave points_mean': '0.02322', 'symmetry_mean': '0.1634', 'fractal_dimension_mean': '0.06372', 'radius_se': '0.1707', 'texture_se': '0.7615', 'perimeter_se': '1.09', 'area_se': '12.25', 'smoothness_se': '0.009191', 'compactness_se': '0.008548', 'concavity_se': '0.0094', 'concave points_se': '0.006315', 'symmetry_se': '0.01755', 'fractal_dimension_se': '0.003009', 'radius_worst': '12.51', 'texture_worst': '20.79', 'perimeter_worst': '79.67', 'area_worst': '475.8', 'smoothness_worst': '0.1531', 'compactness_worst': '0.112', 'concavity_worst': '0.09823', 'concave points_worst': '0.06548', 'symmetry_worst': '0.2851', 'fractal_dimension_worst': '0.08763'}
{'id': '899147', 'diagnosis': 'B', 'radius_mean': '11.95', 'texture_mean': '14.96', 'perimeter_mean': '77.23', 'area_mean': '426.7', 'smoothness_mean': '0.1158', 'compactness_mean': '0.1206', 'concavity_mean': '0.01171', 'concave points_mean': '0.01787', 'symmetry_mean': '0.2459', 'fractal_dimension_mean': '0.06581', 'radius_se': '0.361', 'texture_se': '1.05', 'perimeter_se': '2.455', 'area_se': '26.65', 'smoothness_se': '0.0058', 'compactness_se': '0.02417', 'concavity_se': '0.007816', 'concave points_se': '0.01052', 'symmetry_se': '0.02734', 'fractal_dimension_se': '0.003114', 'radius_worst': '12.81', 'texture_worst': '17.72', 'perimeter_worst': '83.09', 'area_worst': '496.2', 'smoothness_worst': '0.1293', 'compactness_worst': '0.1885', 'concavity_worst': '0.03122', 'concave points_worst': '0.04766', 'symmetry_worst': '0.3124', 'fractal_dimension_worst': '0.0759'}
{'id': '899187', 'diagnosis': 'B', 'radius_mean': '11.66', 'texture_mean': '17.07', 'perimeter_mean': '73.7', 'area_mean': '421', 'smoothness_mean': '0.07561', 'compactness_mean': '0.0363', 'concavity_mean': '0.008306', 'concave points_mean': '0.01162', 'symmetry_mean': '0.1671', 'fractal_dimension_mean': '0.05731', 'radius_se': '0.3534', 'texture_se': '0.6724', 'perimeter_se': '2.225', 'area_se': '26.03', 'smoothness_se': '0.006583', 'compactness_se': '0.006991', 'concavity_se': '0.005949', 'concave points_se': '0.006296', 'symmetry_se': '0.02216', 'fractal_dimension_se': '0.002668', 'radius_worst': '13.28', 'texture_worst': '19.74', 'perimeter_worst': '83.61', 'area_worst': '542.5', 'smoothness_worst': '0.09958', 'compactness_worst': '0.06476', 'concavity_worst': '0.03046', 'concave points_worst': '0.04262', 'symmetry_worst': '0.2731', 'fractal_dimension_worst': '0.06825'}
{'id': '899667', 'diagnosis': 'M', 'radius_mean': '15.75', 'texture_mean': '19.22', 'perimeter_mean': '107.1', 'area_mean': '758.6', 'smoothness_mean': '0.1243', 'compactness_mean': '0.2364', 'concavity_mean': '0.2914', 'concave points_mean': '0.1242', 'symmetry_mean': '0.2375', 'fractal_dimension_mean': '0.07603', 'radius_se': '0.5204', 'texture_se': '1.324', 'perimeter_se': '3.477', 'area_se': '51.22', 'smoothness_se': '0.009329', 'compactness_se': '0.06559', 'concavity_se': '0.09953', 'concave points_se': '0.02283', 'symmetry_se': '0.05543', 'fractal_dimension_se': '0.00733', 'radius_worst': '17.36', 'texture_worst': '24.17', 'perimeter_worst': '119.4', 'area_worst': '915.3', 'smoothness_worst': '0.155', 'compactness_worst': '0.5046', 'concavity_worst': '0.6872', 'concave points_worst': '0.2135', 'symmetry_worst': '0.4245', 'fractal_dimension_worst': '0.105'}
{'id': '899987', 'diagnosis': 'M', 'radius_mean': '25.73', 'texture_mean': '17.46', 'perimeter_mean': '174.2', 'area_mean': '2010', 'smoothness_mean': '0.1149', 'compactness_mean': '0.2363', 'concavity_mean': '0.3368', 'concave points_mean': '0.1913', 'symmetry_mean': '0.1956', 'fractal_dimension_mean': '0.06121', 'radius_se': '0.9948', 'texture_se': '0.8509', 'perimeter_se': '7.222', 'area_se': '153.1', 'smoothness_se': '0.006369', 'compactness_se': '0.04243', 'concavity_se': '0.04266', 'concave points_se': '0.01508', 'symmetry_se': '0.02335', 'fractal_dimension_se': '0.003385', 'radius_worst': '33.13', 'texture_worst': '23.58', 'perimeter_worst': '229.3', 'area_worst': '3234', 'smoothness_worst': '0.153', 'compactness_worst': '0.5937', 'concavity_worst': '0.6451', 'concave points_worst': '0.2756', 'symmetry_worst': '0.369', 'fractal_dimension_worst': '0.08815'}
{'id': '9010018', 'diagnosis': 'M', 'radius_mean': '15.08', 'texture_mean': '25.74', 'perimeter_mean': '98', 'area_mean': '716.6', 'smoothness_mean': '0.1024', 'compactness_mean': '0.09769', 'concavity_mean': '0.1235', 'concave points_mean': '0.06553', 'symmetry_mean': '0.1647', 'fractal_dimension_mean': '0.06464', 'radius_se': '0.6534', 'texture_se': '1.506', 'perimeter_se': '4.174', 'area_se': '63.37', 'smoothness_se': '0.01052', 'compactness_se': '0.02431', 'concavity_se': '0.04912', 'concave points_se': '0.01746', 'symmetry_se': '0.0212', 'fractal_dimension_se': '0.004867', 'radius_worst': '18.51', 'texture_worst': '33.22', 'perimeter_worst': '121.2', 'area_worst': '1050', 'smoothness_worst': '0.166', 'compactness_worst': '0.2356', 'concavity_worst': '0.4029', 'concave points_worst': '0.1526', 'symmetry_worst': '0.2654', 'fractal_dimension_worst': '0.09438'}
{'id': '901011', 'diagnosis': 'B', 'radius_mean': '11.14', 'texture_mean': '14.07', 'perimeter_mean': '71.24', 'area_mean': '384.6', 'smoothness_mean': '0.07274', 'compactness_mean': '0.06064', 'concavity_mean': '0.04505', 'concave points_mean': '0.01471', 'symmetry_mean': '0.169', 'fractal_dimension_mean': '0.06083', 'radius_se': '0.4222', 'texture_se': '0.8092', 'perimeter_se': '3.33', 'area_se': '28.84', 'smoothness_se': '0.005541', 'compactness_se': '0.03387', 'concavity_se': '0.04505', 'concave points_se': '0.01471', 'symmetry_se': '0.03102', 'fractal_dimension_se': '0.004831', 'radius_worst': '12.12', 'texture_worst': '15.82', 'perimeter_worst': '79.62', 'area_worst': '453.5', 'smoothness_worst': '0.08864', 'compactness_worst': '0.1256', 'concavity_worst': '0.1201', 'concave points_worst': '0.03922', 'symmetry_worst': '0.2576', 'fractal_dimension_worst': '0.07018'}
{'id': '9010258', 'diagnosis': 'B', 'radius_mean': '12.56', 'texture_mean': '19.07', 'perimeter_mean': '81.92', 'area_mean': '485.8', 'smoothness_mean': '0.0876', 'compactness_mean': '0.1038', 'concavity_mean': '0.103', 'concave points_mean': '0.04391', 'symmetry_mean': '0.1533', 'fractal_dimension_mean': '0.06184', 'radius_se': '0.3602', 'texture_se': '1.478', 'perimeter_se': '3.212', 'area_se': '27.49', 'smoothness_se': '0.009853', 'compactness_se': '0.04235', 'concavity_se': '0.06271', 'concave points_se': '0.01966', 'symmetry_se': '0.02639', 'fractal_dimension_se': '0.004205', 'radius_worst': '13.37', 'texture_worst': '22.43', 'perimeter_worst': '89.02', 'area_worst': '547.4', 'smoothness_worst': '0.1096', 'compactness_worst': '0.2002', 'concavity_worst': '0.2388', 'concave points_worst': '0.09265', 'symmetry_worst': '0.2121', 'fractal_dimension_worst': '0.07188'}
{'id': '9010259', 'diagnosis': 'B', 'radius_mean': '13.05', 'texture_mean': '18.59', 'perimeter_mean': '85.09', 'area_mean': '512', 'smoothness_mean': '0.1082', 'compactness_mean': '0.1304', 'concavity_mean': '0.09603', 'concave points_mean': '0.05603', 'symmetry_mean': '0.2035', 'fractal_dimension_mean': '0.06501', 'radius_se': '0.3106', 'texture_se': '1.51', 'perimeter_se': '2.59', 'area_se': '21.57', 'smoothness_se': '0.007807', 'compactness_se': '0.03932', 'concavity_se': '0.05112', 'concave points_se': '0.01876', 'symmetry_se': '0.0286', 'fractal_dimension_se': '0.005715', 'radius_worst': '14.19', 'texture_worst': '24.85', 'perimeter_worst': '94.22', 'area_worst': '591.2', 'smoothness_worst': '0.1343', 'compactness_worst': '0.2658', 'concavity_worst': '0.2573', 'concave points_worst': '0.1258', 'symmetry_worst': '0.3113', 'fractal_dimension_worst': '0.08317'}
{'id': '901028', 'diagnosis': 'B', 'radius_mean': '13.87', 'texture_mean': '16.21', 'perimeter_mean': '88.52', 'area_mean': '593.7', 'smoothness_mean': '0.08743', 'compactness_mean': '0.05492', 'concavity_mean': '0.01502', 'concave points_mean': '0.02088', 'symmetry_mean': '0.1424', 'fractal_dimension_mean': '0.05883', 'radius_se': '0.2543', 'texture_se': '1.363', 'perimeter_se': '1.737', 'area_se': '20.74', 'smoothness_se': '0.005638', 'compactness_se': '0.007939', 'concavity_se': '0.005254', 'concave points_se': '0.006042', 'symmetry_se': '0.01544', 'fractal_dimension_se': '0.002087', 'radius_worst': '15.11', 'texture_worst': '25.58', 'perimeter_worst': '96.74', 'area_worst': '694.4', 'smoothness_worst': '0.1153', 'compactness_worst': '0.1008', 'concavity_worst': '0.05285', 'concave points_worst': '0.05556', 'symmetry_worst': '0.2362', 'fractal_dimension_worst': '0.07113'}
{'id': '9010333', 'diagnosis': 'B', 'radius_mean': '8.878', 'texture_mean': '15.49', 'perimeter_mean': '56.74', 'area_mean': '241', 'smoothness_mean': '0.08293', 'compactness_mean': '0.07698', 'concavity_mean': '0.04721', 'concave points_mean': '0.02381', 'symmetry_mean': '0.193', 'fractal_dimension_mean': '0.06621', 'radius_se': '0.5381', 'texture_se': '1.2', 'perimeter_se': '4.277', 'area_se': '30.18', 'smoothness_se': '0.01093', 'compactness_se': '0.02899', 'concavity_se': '0.03214', 'concave points_se': '0.01506', 'symmetry_se': '0.02837', 'fractal_dimension_se': '0.004174', 'radius_worst': '9.981', 'texture_worst': '17.7', 'perimeter_worst': '65.27', 'area_worst': '302', 'smoothness_worst': '0.1015', 'compactness_worst': '0.1248', 'concavity_worst': '0.09441', 'concave points_worst': '0.04762', 'symmetry_worst': '0.2434', 'fractal_dimension_worst': '0.07431'}
{'id': '901034301', 'diagnosis': 'B', 'radius_mean': '9.436', 'texture_mean': '18.32', 'perimeter_mean': '59.82', 'area_mean': '278.6', 'smoothness_mean': '0.1009', 'compactness_mean': '0.05956', 'concavity_mean': '0.0271', 'concave points_mean': '0.01406', 'symmetry_mean': '0.1506', 'fractal_dimension_mean': '0.06959', 'radius_se': '0.5079', 'texture_se': '1.247', 'perimeter_se': '3.267', 'area_se': '30.48', 'smoothness_se': '0.006836', 'compactness_se': '0.008982', 'concavity_se': '0.02348', 'concave points_se': '0.006565', 'symmetry_se': '0.01942', 'fractal_dimension_se': '0.002713', 'radius_worst': '12.02', 'texture_worst': '25.02', 'perimeter_worst': '75.79', 'area_worst': '439.6', 'smoothness_worst': '0.1333', 'compactness_worst': '0.1049', 'concavity_worst': '0.1144', 'concave points_worst': '0.05052', 'symmetry_worst': '0.2454', 'fractal_dimension_worst': '0.08136'}
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{'id': '901041', 'diagnosis': 'B', 'radius_mean': '13.3', 'texture_mean': '21.57', 'perimeter_mean': '85.24', 'area_mean': '546.1', 'smoothness_mean': '0.08582', 'compactness_mean': '0.06373', 'concavity_mean': '0.03344', 'concave points_mean': '0.02424', 'symmetry_mean': '0.1815', 'fractal_dimension_mean': '0.05696', 'radius_se': '0.2621', 'texture_se': '1.539', 'perimeter_se': '2.028', 'area_se': '20.98', 'smoothness_se': '0.005498', 'compactness_se': '0.02045', 'concavity_se': '0.01795', 'concave points_se': '0.006399', 'symmetry_se': '0.01829', 'fractal_dimension_se': '0.001956', 'radius_worst': '14.2', 'texture_worst': '29.2', 'perimeter_worst': '92.94', 'area_worst': '621.2', 'smoothness_worst': '0.114', 'compactness_worst': '0.1667', 'concavity_worst': '0.1212', 'concave points_worst': '0.05614', 'symmetry_worst': '0.2637', 'fractal_dimension_worst': '0.06658'}
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{'id': '9010872', 'diagnosis': 'B', 'radius_mean': '16.5', 'texture_mean': '18.29', 'perimeter_mean': '106.6', 'area_mean': '838.1', 'smoothness_mean': '0.09686', 'compactness_mean': '0.08468', 'concavity_mean': '0.05862', 'concave points_mean': '0.04835', 'symmetry_mean': '0.1495', 'fractal_dimension_mean': '0.05593', 'radius_se': '0.3389', 'texture_se': '1.439', 'perimeter_se': '2.344', 'area_se': '33.58', 'smoothness_se': '0.007257', 'compactness_se': '0.01805', 'concavity_se': '0.01832', 'concave points_se': '0.01033', 'symmetry_se': '0.01694', 'fractal_dimension_se': '0.002001', 'radius_worst': '18.13', 'texture_worst': '25.45', 'perimeter_worst': '117.2', 'area_worst': '1009', 'smoothness_worst': '0.1338', 'compactness_worst': '0.1679', 'concavity_worst': '0.1663', 'concave points_worst': '0.09123', 'symmetry_worst': '0.2394', 'fractal_dimension_worst': '0.06469'}
{'id': '9010877', 'diagnosis': 'B', 'radius_mean': '13.4', 'texture_mean': '16.95', 'perimeter_mean': '85.48', 'area_mean': '552.4', 'smoothness_mean': '0.07937', 'compactness_mean': '0.05696', 'concavity_mean': '0.02181', 'concave points_mean': '0.01473', 'symmetry_mean': '0.165', 'fractal_dimension_mean': '0.05701', 'radius_se': '0.1584', 'texture_se': '0.6124', 'perimeter_se': '1.036', 'area_se': '13.22', 'smoothness_se': '0.004394', 'compactness_se': '0.0125', 'concavity_se': '0.01451', 'concave points_se': '0.005484', 'symmetry_se': '0.01291', 'fractal_dimension_se': '0.002074', 'radius_worst': '14.73', 'texture_worst': '21.7', 'perimeter_worst': '93.76', 'area_worst': '663.5', 'smoothness_worst': '0.1213', 'compactness_worst': '0.1676', 'concavity_worst': '0.1364', 'concave points_worst': '0.06987', 'symmetry_worst': '0.2741', 'fractal_dimension_worst': '0.07582'}
{'id': '901088', 'diagnosis': 'M', 'radius_mean': '20.44', 'texture_mean': '21.78', 'perimeter_mean': '133.8', 'area_mean': '1293', 'smoothness_mean': '0.0915', 'compactness_mean': '0.1131', 'concavity_mean': '0.09799', 'concave points_mean': '0.07785', 'symmetry_mean': '0.1618', 'fractal_dimension_mean': '0.05557', 'radius_se': '0.5781', 'texture_se': '0.9168', 'perimeter_se': '4.218', 'area_se': '72.44', 'smoothness_se': '0.006208', 'compactness_se': '0.01906', 'concavity_se': '0.02375', 'concave points_se': '0.01461', 'symmetry_se': '0.01445', 'fractal_dimension_se': '0.001906', 'radius_worst': '24.31', 'texture_worst': '26.37', 'perimeter_worst': '161.2', 'area_worst': '1780', 'smoothness_worst': '0.1327', 'compactness_worst': '0.2376', 'concavity_worst': '0.2702', 'concave points_worst': '0.1765', 'symmetry_worst': '0.2609', 'fractal_dimension_worst': '0.06735'}
{'id': '9011494', 'diagnosis': 'M', 'radius_mean': '20.2', 'texture_mean': '26.83', 'perimeter_mean': '133.7', 'area_mean': '1234', 'smoothness_mean': '0.09905', 'compactness_mean': '0.1669', 'concavity_mean': '0.1641', 'concave points_mean': '0.1265', 'symmetry_mean': '0.1875', 'fractal_dimension_mean': '0.0602', 'radius_se': '0.9761', 'texture_se': '1.892', 'perimeter_se': '7.128', 'area_se': '103.6', 'smoothness_se': '0.008439', 'compactness_se': '0.04674', 'concavity_se': '0.05904', 'concave points_se': '0.02536', 'symmetry_se': '0.0371', 'fractal_dimension_se': '0.004286', 'radius_worst': '24.19', 'texture_worst': '33.81', 'perimeter_worst': '160', 'area_worst': '1671', 'smoothness_worst': '0.1278', 'compactness_worst': '0.3416', 'concavity_worst': '0.3703', 'concave points_worst': '0.2152', 'symmetry_worst': '0.3271', 'fractal_dimension_worst': '0.07632'}
{'id': '9011495', 'diagnosis': 'B', 'radius_mean': '12.21', 'texture_mean': '18.02', 'perimeter_mean': '78.31', 'area_mean': '458.4', 'smoothness_mean': '0.09231', 'compactness_mean': '0.07175', 'concavity_mean': '0.04392', 'concave points_mean': '0.02027', 'symmetry_mean': '0.1695', 'fractal_dimension_mean': '0.05916', 'radius_se': '0.2527', 'texture_se': '0.7786', 'perimeter_se': '1.874', 'area_se': '18.57', 'smoothness_se': '0.005833', 'compactness_se': '0.01388', 'concavity_se': '0.02', 'concave points_se': '0.007087', 'symmetry_se': '0.01938', 'fractal_dimension_se': '0.00196', 'radius_worst': '14.29', 'texture_worst': '24.04', 'perimeter_worst': '93.85', 'area_worst': '624.6', 'smoothness_worst': '0.1368', 'compactness_worst': '0.217', 'concavity_worst': '0.2413', 'concave points_worst': '0.08829', 'symmetry_worst': '0.3218', 'fractal_dimension_worst': '0.0747'}
{'id': '9011971', 'diagnosis': 'M', 'radius_mean': '21.71', 'texture_mean': '17.25', 'perimeter_mean': '140.9', 'area_mean': '1546', 'smoothness_mean': '0.09384', 'compactness_mean': '0.08562', 'concavity_mean': '0.1168', 'concave points_mean': '0.08465', 'symmetry_mean': '0.1717', 'fractal_dimension_mean': '0.05054', 'radius_se': '1.207', 'texture_se': '1.051', 'perimeter_se': '7.733', 'area_se': '224.1', 'smoothness_se': '0.005568', 'compactness_se': '0.01112', 'concavity_se': '0.02096', 'concave points_se': '0.01197', 'symmetry_se': '0.01263', 'fractal_dimension_se': '0.001803', 'radius_worst': '30.75', 'texture_worst': '26.44', 'perimeter_worst': '199.5', 'area_worst': '3143', 'smoothness_worst': '0.1363', 'compactness_worst': '0.1628', 'concavity_worst': '0.2861', 'concave points_worst': '0.182', 'symmetry_worst': '0.251', 'fractal_dimension_worst': '0.06494'}
{'id': '9012000', 'diagnosis': 'M', 'radius_mean': '22.01', 'texture_mean': '21.9', 'perimeter_mean': '147.2', 'area_mean': '1482', 'smoothness_mean': '0.1063', 'compactness_mean': '0.1954', 'concavity_mean': '0.2448', 'concave points_mean': '0.1501', 'symmetry_mean': '0.1824', 'fractal_dimension_mean': '0.0614', 'radius_se': '1.008', 'texture_se': '0.6999', 'perimeter_se': '7.561', 'area_se': '130.2', 'smoothness_se': '0.003978', 'compactness_se': '0.02821', 'concavity_se': '0.03576', 'concave points_se': '0.01471', 'symmetry_se': '0.01518', 'fractal_dimension_se': '0.003796', 'radius_worst': '27.66', 'texture_worst': '25.8', 'perimeter_worst': '195', 'area_worst': '2227', 'smoothness_worst': '0.1294', 'compactness_worst': '0.3885', 'concavity_worst': '0.4756', 'concave points_worst': '0.2432', 'symmetry_worst': '0.2741', 'fractal_dimension_worst': '0.08574'}
{'id': '9012315', 'diagnosis': 'M', 'radius_mean': '16.35', 'texture_mean': '23.29', 'perimeter_mean': '109', 'area_mean': '840.4', 'smoothness_mean': '0.09742', 'compactness_mean': '0.1497', 'concavity_mean': '0.1811', 'concave points_mean': '0.08773', 'symmetry_mean': '0.2175', 'fractal_dimension_mean': '0.06218', 'radius_se': '0.4312', 'texture_se': '1.022', 'perimeter_se': '2.972', 'area_se': '45.5', 'smoothness_se': '0.005635', 'compactness_se': '0.03917', 'concavity_se': '0.06072', 'concave points_se': '0.01656', 'symmetry_se': '0.03197', 'fractal_dimension_se': '0.004085', 'radius_worst': '19.38', 'texture_worst': '31.03', 'perimeter_worst': '129.3', 'area_worst': '1165', 'smoothness_worst': '0.1415', 'compactness_worst': '0.4665', 'concavity_worst': '0.7087', 'concave points_worst': '0.2248', 'symmetry_worst': '0.4824', 'fractal_dimension_worst': '0.09614'}
{'id': '9012568', 'diagnosis': 'B', 'radius_mean': '15.19', 'texture_mean': '13.21', 'perimeter_mean': '97.65', 'area_mean': '711.8', 'smoothness_mean': '0.07963', 'compactness_mean': '0.06934', 'concavity_mean': '0.03393', 'concave points_mean': '0.02657', 'symmetry_mean': '0.1721', 'fractal_dimension_mean': '0.05544', 'radius_se': '0.1783', 'texture_se': '0.4125', 'perimeter_se': '1.338', 'area_se': '17.72', 'smoothness_se': '0.005012', 'compactness_se': '0.01485', 'concavity_se': '0.01551', 'concave points_se': '0.009155', 'symmetry_se': '0.01647', 'fractal_dimension_se': '0.001767', 'radius_worst': '16.2', 'texture_worst': '15.73', 'perimeter_worst': '104.5', 'area_worst': '819.1', 'smoothness_worst': '0.1126', 'compactness_worst': '0.1737', 'concavity_worst': '0.1362', 'concave points_worst': '0.08178', 'symmetry_worst': '0.2487', 'fractal_dimension_worst': '0.06766'}
{'id': '9012795', 'diagnosis': 'M', 'radius_mean': '21.37', 'texture_mean': '15.1', 'perimeter_mean': '141.3', 'area_mean': '1386', 'smoothness_mean': '0.1001', 'compactness_mean': '0.1515', 'concavity_mean': '0.1932', 'concave points_mean': '0.1255', 'symmetry_mean': '0.1973', 'fractal_dimension_mean': '0.06183', 'radius_se': '0.3414', 'texture_se': '1.309', 'perimeter_se': '2.407', 'area_se': '39.06', 'smoothness_se': '0.004426', 'compactness_se': '0.02675', 'concavity_se': '0.03437', 'concave points_se': '0.01343', 'symmetry_se': '0.01675', 'fractal_dimension_se': '0.004367', 'radius_worst': '22.69', 'texture_worst': '21.84', 'perimeter_worst': '152.1', 'area_worst': '1535', 'smoothness_worst': '0.1192', 'compactness_worst': '0.284', 'concavity_worst': '0.4024', 'concave points_worst': '0.1966', 'symmetry_worst': '0.273', 'fractal_dimension_worst': '0.08666'}
{'id': '901288', 'diagnosis': 'M', 'radius_mean': '20.64', 'texture_mean': '17.35', 'perimeter_mean': '134.8', 'area_mean': '1335', 'smoothness_mean': '0.09446', 'compactness_mean': '0.1076', 'concavity_mean': '0.1527', 'concave points_mean': '0.08941', 'symmetry_mean': '0.1571', 'fractal_dimension_mean': '0.05478', 'radius_se': '0.6137', 'texture_se': '0.6575', 'perimeter_se': '4.119', 'area_se': '77.02', 'smoothness_se': '0.006211', 'compactness_se': '0.01895', 'concavity_se': '0.02681', 'concave points_se': '0.01232', 'symmetry_se': '0.01276', 'fractal_dimension_se': '0.001711', 'radius_worst': '25.37', 'texture_worst': '23.17', 'perimeter_worst': '166.8', 'area_worst': '1946', 'smoothness_worst': '0.1562', 'compactness_worst': '0.3055', 'concavity_worst': '0.4159', 'concave points_worst': '0.2112', 'symmetry_worst': '0.2689', 'fractal_dimension_worst': '0.07055'}
{'id': '9013005', 'diagnosis': 'B', 'radius_mean': '13.69', 'texture_mean': '16.07', 'perimeter_mean': '87.84', 'area_mean': '579.1', 'smoothness_mean': '0.08302', 'compactness_mean': '0.06374', 'concavity_mean': '0.02556', 'concave points_mean': '0.02031', 'symmetry_mean': '0.1872', 'fractal_dimension_mean': '0.05669', 'radius_se': '0.1705', 'texture_se': '0.5066', 'perimeter_se': '1.372', 'area_se': '14', 'smoothness_se': '0.00423', 'compactness_se': '0.01587', 'concavity_se': '0.01169', 'concave points_se': '0.006335', 'symmetry_se': '0.01943', 'fractal_dimension_se': '0.002177', 'radius_worst': '14.84', 'texture_worst': '20.21', 'perimeter_worst': '99.16', 'area_worst': '670.6', 'smoothness_worst': '0.1105', 'compactness_worst': '0.2096', 'concavity_worst': '0.1346', 'concave points_worst': '0.06987', 'symmetry_worst': '0.3323', 'fractal_dimension_worst': '0.07701'}
{'id': '901303', 'diagnosis': 'B', 'radius_mean': '16.17', 'texture_mean': '16.07', 'perimeter_mean': '106.3', 'area_mean': '788.5', 'smoothness_mean': '0.0988', 'compactness_mean': '0.1438', 'concavity_mean': '0.06651', 'concave points_mean': '0.05397', 'symmetry_mean': '0.199', 'fractal_dimension_mean': '0.06572', 'radius_se': '0.1745', 'texture_se': '0.489', 'perimeter_se': '1.349', 'area_se': '14.91', 'smoothness_se': '0.00451', 'compactness_se': '0.01812', 'concavity_se': '0.01951', 'concave points_se': '0.01196', 'symmetry_se': '0.01934', 'fractal_dimension_se': '0.003696', 'radius_worst': '16.97', 'texture_worst': '19.14', 'perimeter_worst': '113.1', 'area_worst': '861.5', 'smoothness_worst': '0.1235', 'compactness_worst': '0.255', 'concavity_worst': '0.2114', 'concave points_worst': '0.1251', 'symmetry_worst': '0.3153', 'fractal_dimension_worst': '0.0896'}
{'id': '901315', 'diagnosis': 'B', 'radius_mean': '10.57', 'texture_mean': '20.22', 'perimeter_mean': '70.15', 'area_mean': '338.3', 'smoothness_mean': '0.09073', 'compactness_mean': '0.166', 'concavity_mean': '0.228', 'concave points_mean': '0.05941', 'symmetry_mean': '0.2188', 'fractal_dimension_mean': '0.0845', 'radius_se': '0.1115', 'texture_se': '1.231', 'perimeter_se': '2.363', 'area_se': '7.228', 'smoothness_se': '0.008499', 'compactness_se': '0.07643', 'concavity_se': '0.1535', 'concave points_se': '0.02919', 'symmetry_se': '0.01617', 'fractal_dimension_se': '0.0122', 'radius_worst': '10.85', 'texture_worst': '22.82', 'perimeter_worst': '76.51', 'area_worst': '351.9', 'smoothness_worst': '0.1143', 'compactness_worst': '0.3619', 'concavity_worst': '0.603', 'concave points_worst': '0.1465', 'symmetry_worst': '0.2597', 'fractal_dimension_worst': '0.12'}
{'id': '9013579', 'diagnosis': 'B', 'radius_mean': '13.46', 'texture_mean': '28.21', 'perimeter_mean': '85.89', 'area_mean': '562.1', 'smoothness_mean': '0.07517', 'compactness_mean': '0.04726', 'concavity_mean': '0.01271', 'concave points_mean': '0.01117', 'symmetry_mean': '0.1421', 'fractal_dimension_mean': '0.05763', 'radius_se': '0.1689', 'texture_se': '1.15', 'perimeter_se': '1.4', 'area_se': '14.91', 'smoothness_se': '0.004942', 'compactness_se': '0.01203', 'concavity_se': '0.007508', 'concave points_se': '0.005179', 'symmetry_se': '0.01442', 'fractal_dimension_se': '0.001684', 'radius_worst': '14.69', 'texture_worst': '35.63', 'perimeter_worst': '97.11', 'area_worst': '680.6', 'smoothness_worst': '0.1108', 'compactness_worst': '0.1457', 'concavity_worst': '0.07934', 'concave points_worst': '0.05781', 'symmetry_worst': '0.2694', 'fractal_dimension_worst': '0.07061'}
{'id': '9013594', 'diagnosis': 'B', 'radius_mean': '13.66', 'texture_mean': '15.15', 'perimeter_mean': '88.27', 'area_mean': '580.6', 'smoothness_mean': '0.08268', 'compactness_mean': '0.07548', 'concavity_mean': '0.04249', 'concave points_mean': '0.02471', 'symmetry_mean': '0.1792', 'fractal_dimension_mean': '0.05897', 'radius_se': '0.1402', 'texture_se': '0.5417', 'perimeter_se': '1.101', 'area_se': '11.35', 'smoothness_se': '0.005212', 'compactness_se': '0.02984', 'concavity_se': '0.02443', 'concave points_se': '0.008356', 'symmetry_se': '0.01818', 'fractal_dimension_se': '0.004868', 'radius_worst': '14.54', 'texture_worst': '19.64', 'perimeter_worst': '97.96', 'area_worst': '657', 'smoothness_worst': '0.1275', 'compactness_worst': '0.3104', 'concavity_worst': '0.2569', 'concave points_worst': '0.1054', 'symmetry_worst': '0.3387', 'fractal_dimension_worst': '0.09638'}
{'id': '9013838', 'diagnosis': 'M', 'radius_mean': '11.08', 'texture_mean': '18.83', 'perimeter_mean': '73.3', 'area_mean': '361.6', 'smoothness_mean': '0.1216', 'compactness_mean': '0.2154', 'concavity_mean': '0.1689', 'concave points_mean': '0.06367', 'symmetry_mean': '0.2196', 'fractal_dimension_mean': '0.0795', 'radius_se': '0.2114', 'texture_se': '1.027', 'perimeter_se': '1.719', 'area_se': '13.99', 'smoothness_se': '0.007405', 'compactness_se': '0.04549', 'concavity_se': '0.04588', 'concave points_se': '0.01339', 'symmetry_se': '0.01738', 'fractal_dimension_se': '0.004435', 'radius_worst': '13.24', 'texture_worst': '32.82', 'perimeter_worst': '91.76', 'area_worst': '508.1', 'smoothness_worst': '0.2184', 'compactness_worst': '0.9379', 'concavity_worst': '0.8402', 'concave points_worst': '0.2524', 'symmetry_worst': '0.4154', 'fractal_dimension_worst': '0.1403'}
{'id': '901549', 'diagnosis': 'B', 'radius_mean': '11.27', 'texture_mean': '12.96', 'perimeter_mean': '73.16', 'area_mean': '386.3', 'smoothness_mean': '0.1237', 'compactness_mean': '0.1111', 'concavity_mean': '0.079', 'concave points_mean': '0.0555', 'symmetry_mean': '0.2018', 'fractal_dimension_mean': '0.06914', 'radius_se': '0.2562', 'texture_se': '0.9858', 'perimeter_se': '1.809', 'area_se': '16.04', 'smoothness_se': '0.006635', 'compactness_se': '0.01777', 'concavity_se': '0.02101', 'concave points_se': '0.01164', 'symmetry_se': '0.02108', 'fractal_dimension_se': '0.003721', 'radius_worst': '12.84', 'texture_worst': '20.53', 'perimeter_worst': '84.93', 'area_worst': '476.1', 'smoothness_worst': '0.161', 'compactness_worst': '0.2429', 'concavity_worst': '0.2247', 'concave points_worst': '0.1318', 'symmetry_worst': '0.3343', 'fractal_dimension_worst': '0.09215'}
{'id': '901836', 'diagnosis': 'B', 'radius_mean': '11.04', 'texture_mean': '14.93', 'perimeter_mean': '70.67', 'area_mean': '372.7', 'smoothness_mean': '0.07987', 'compactness_mean': '0.07079', 'concavity_mean': '0.03546', 'concave points_mean': '0.02074', 'symmetry_mean': '0.2003', 'fractal_dimension_mean': '0.06246', 'radius_se': '0.1642', 'texture_se': '1.031', 'perimeter_se': '1.281', 'area_se': '11.68', 'smoothness_se': '0.005296', 'compactness_se': '0.01903', 'concavity_se': '0.01723', 'concave points_se': '0.00696', 'symmetry_se': '0.0188', 'fractal_dimension_se': '0.001941', 'radius_worst': '12.09', 'texture_worst': '20.83', 'perimeter_worst': '79.73', 'area_worst': '447.1', 'smoothness_worst': '0.1095', 'compactness_worst': '0.1982', 'concavity_worst': '0.1553', 'concave points_worst': '0.06754', 'symmetry_worst': '0.3202', 'fractal_dimension_worst': '0.07287'}
{'id': '90250', 'diagnosis': 'B', 'radius_mean': '12.05', 'texture_mean': '22.72', 'perimeter_mean': '78.75', 'area_mean': '447.8', 'smoothness_mean': '0.06935', 'compactness_mean': '0.1073', 'concavity_mean': '0.07943', 'concave points_mean': '0.02978', 'symmetry_mean': '0.1203', 'fractal_dimension_mean': '0.06659', 'radius_se': '0.1194', 'texture_se': '1.434', 'perimeter_se': '1.778', 'area_se': '9.549', 'smoothness_se': '0.005042', 'compactness_se': '0.0456', 'concavity_se': '0.04305', 'concave points_se': '0.01667', 'symmetry_se': '0.0247', 'fractal_dimension_se': '0.007358', 'radius_worst': '12.57', 'texture_worst': '28.71', 'perimeter_worst': '87.36', 'area_worst': '488.4', 'smoothness_worst': '0.08799', 'compactness_worst': '0.3214', 'concavity_worst': '0.2912', 'concave points_worst': '0.1092', 'symmetry_worst': '0.2191', 'fractal_dimension_worst': '0.09349'}
{'id': '90251', 'diagnosis': 'B', 'radius_mean': '12.39', 'texture_mean': '17.48', 'perimeter_mean': '80.64', 'area_mean': '462.9', 'smoothness_mean': '0.1042', 'compactness_mean': '0.1297', 'concavity_mean': '0.05892', 'concave points_mean': '0.0288', 'symmetry_mean': '0.1779', 'fractal_dimension_mean': '0.06588', 'radius_se': '0.2608', 'texture_se': '0.873', 'perimeter_se': '2.117', 'area_se': '19.2', 'smoothness_se': '0.006715', 'compactness_se': '0.03705', 'concavity_se': '0.04757', 'concave points_se': '0.01051', 'symmetry_se': '0.01838', 'fractal_dimension_se': '0.006884', 'radius_worst': '14.18', 'texture_worst': '23.13', 'perimeter_worst': '95.23', 'area_worst': '600.5', 'smoothness_worst': '0.1427', 'compactness_worst': '0.3593', 'concavity_worst': '0.3206', 'concave points_worst': '0.09804', 'symmetry_worst': '0.2819', 'fractal_dimension_worst': '0.1118'}
{'id': '902727', 'diagnosis': 'B', 'radius_mean': '13.28', 'texture_mean': '13.72', 'perimeter_mean': '85.79', 'area_mean': '541.8', 'smoothness_mean': '0.08363', 'compactness_mean': '0.08575', 'concavity_mean': '0.05077', 'concave points_mean': '0.02864', 'symmetry_mean': '0.1617', 'fractal_dimension_mean': '0.05594', 'radius_se': '0.1833', 'texture_se': '0.5308', 'perimeter_se': '1.592', 'area_se': '15.26', 'smoothness_se': '0.004271', 'compactness_se': '0.02073', 'concavity_se': '0.02828', 'concave points_se': '0.008468', 'symmetry_se': '0.01461', 'fractal_dimension_se': '0.002613', 'radius_worst': '14.24', 'texture_worst': '17.37', 'perimeter_worst': '96.59', 'area_worst': '623.7', 'smoothness_worst': '0.1166', 'compactness_worst': '0.2685', 'concavity_worst': '0.2866', 'concave points_worst': '0.09173', 'symmetry_worst': '0.2736', 'fractal_dimension_worst': '0.0732'}
{'id': '90291', 'diagnosis': 'M', 'radius_mean': '14.6', 'texture_mean': '23.29', 'perimeter_mean': '93.97', 'area_mean': '664.7', 'smoothness_mean': '0.08682', 'compactness_mean': '0.06636', 'concavity_mean': '0.0839', 'concave points_mean': '0.05271', 'symmetry_mean': '0.1627', 'fractal_dimension_mean': '0.05416', 'radius_se': '0.4157', 'texture_se': '1.627', 'perimeter_se': '2.914', 'area_se': '33.01', 'smoothness_se': '0.008312', 'compactness_se': '0.01742', 'concavity_se': '0.03389', 'concave points_se': '0.01576', 'symmetry_se': '0.0174', 'fractal_dimension_se': '0.002871', 'radius_worst': '15.79', 'texture_worst': '31.71', 'perimeter_worst': '102.2', 'area_worst': '758.2', 'smoothness_worst': '0.1312', 'compactness_worst': '0.1581', 'concavity_worst': '0.2675', 'concave points_worst': '0.1359', 'symmetry_worst': '0.2477', 'fractal_dimension_worst': '0.06836'}
{'id': '902975', 'diagnosis': 'B', 'radius_mean': '12.21', 'texture_mean': '14.09', 'perimeter_mean': '78.78', 'area_mean': '462', 'smoothness_mean': '0.08108', 'compactness_mean': '0.07823', 'concavity_mean': '0.06839', 'concave points_mean': '0.02534', 'symmetry_mean': '0.1646', 'fractal_dimension_mean': '0.06154', 'radius_se': '0.2666', 'texture_se': '0.8309', 'perimeter_se': '2.097', 'area_se': '19.96', 'smoothness_se': '0.004405', 'compactness_se': '0.03026', 'concavity_se': '0.04344', 'concave points_se': '0.01087', 'symmetry_se': '0.01921', 'fractal_dimension_se': '0.004622', 'radius_worst': '13.13', 'texture_worst': '19.29', 'perimeter_worst': '87.65', 'area_worst': '529.9', 'smoothness_worst': '0.1026', 'compactness_worst': '0.2431', 'concavity_worst': '0.3076', 'concave points_worst': '0.0914', 'symmetry_worst': '0.2677', 'fractal_dimension_worst': '0.08824'}
{'id': '902976', 'diagnosis': 'B', 'radius_mean': '13.88', 'texture_mean': '16.16', 'perimeter_mean': '88.37', 'area_mean': '596.6', 'smoothness_mean': '0.07026', 'compactness_mean': '0.04831', 'concavity_mean': '0.02045', 'concave points_mean': '0.008507', 'symmetry_mean': '0.1607', 'fractal_dimension_mean': '0.05474', 'radius_se': '0.2541', 'texture_se': '0.6218', 'perimeter_se': '1.709', 'area_se': '23.12', 'smoothness_se': '0.003728', 'compactness_se': '0.01415', 'concavity_se': '0.01988', 'concave points_se': '0.007016', 'symmetry_se': '0.01647', 'fractal_dimension_se': '0.00197', 'radius_worst': '15.51', 'texture_worst': '19.97', 'perimeter_worst': '99.66', 'area_worst': '745.3', 'smoothness_worst': '0.08484', 'compactness_worst': '0.1233', 'concavity_worst': '0.1091', 'concave points_worst': '0.04537', 'symmetry_worst': '0.2542', 'fractal_dimension_worst': '0.06623'}
{'id': '903011', 'diagnosis': 'B', 'radius_mean': '11.27', 'texture_mean': '15.5', 'perimeter_mean': '73.38', 'area_mean': '392', 'smoothness_mean': '0.08365', 'compactness_mean': '0.1114', 'concavity_mean': '0.1007', 'concave points_mean': '0.02757', 'symmetry_mean': '0.181', 'fractal_dimension_mean': '0.07252', 'radius_se': '0.3305', 'texture_se': '1.067', 'perimeter_se': '2.569', 'area_se': '22.97', 'smoothness_se': '0.01038', 'compactness_se': '0.06669', 'concavity_se': '0.09472', 'concave points_se': '0.02047', 'symmetry_se': '0.01219', 'fractal_dimension_se': '0.01233', 'radius_worst': '12.04', 'texture_worst': '18.93', 'perimeter_worst': '79.73', 'area_worst': '450', 'smoothness_worst': '0.1102', 'compactness_worst': '0.2809', 'concavity_worst': '0.3021', 'concave points_worst': '0.08272', 'symmetry_worst': '0.2157', 'fractal_dimension_worst': '0.1043'}
{'id': '90312', 'diagnosis': 'M', 'radius_mean': '19.55', 'texture_mean': '23.21', 'perimeter_mean': '128.9', 'area_mean': '1174', 'smoothness_mean': '0.101', 'compactness_mean': '0.1318', 'concavity_mean': '0.1856', 'concave points_mean': '0.1021', 'symmetry_mean': '0.1989', 'fractal_dimension_mean': '0.05884', 'radius_se': '0.6107', 'texture_se': '2.836', 'perimeter_se': '5.383', 'area_se': '70.1', 'smoothness_se': '0.01124', 'compactness_se': '0.04097', 'concavity_se': '0.07469', 'concave points_se': '0.03441', 'symmetry_se': '0.02768', 'fractal_dimension_se': '0.00624', 'radius_worst': '20.82', 'texture_worst': '30.44', 'perimeter_worst': '142', 'area_worst': '1313', 'smoothness_worst': '0.1251', 'compactness_worst': '0.2414', 'concavity_worst': '0.3829', 'concave points_worst': '0.1825', 'symmetry_worst': '0.2576', 'fractal_dimension_worst': '0.07602'}
{'id': '90317302', 'diagnosis': 'B', 'radius_mean': '10.26', 'texture_mean': '12.22', 'perimeter_mean': '65.75', 'area_mean': '321.6', 'smoothness_mean': '0.09996', 'compactness_mean': '0.07542', 'concavity_mean': '0.01923', 'concave points_mean': '0.01968', 'symmetry_mean': '0.18', 'fractal_dimension_mean': '0.06569', 'radius_se': '0.1911', 'texture_se': '0.5477', 'perimeter_se': '1.348', 'area_se': '11.88', 'smoothness_se': '0.005682', 'compactness_se': '0.01365', 'concavity_se': '0.008496', 'concave points_se': '0.006929', 'symmetry_se': '0.01938', 'fractal_dimension_se': '0.002371', 'radius_worst': '11.38', 'texture_worst': '15.65', 'perimeter_worst': '73.23', 'area_worst': '394.5', 'smoothness_worst': '0.1343', 'compactness_worst': '0.165', 'concavity_worst': '0.08615', 'concave points_worst': '0.06696', 'symmetry_worst': '0.2937', 'fractal_dimension_worst': '0.07722'}
{'id': '903483', 'diagnosis': 'B', 'radius_mean': '8.734', 'texture_mean': '16.84', 'perimeter_mean': '55.27', 'area_mean': '234.3', 'smoothness_mean': '0.1039', 'compactness_mean': '0.07428', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1985', 'fractal_dimension_mean': '0.07098', 'radius_se': '0.5169', 'texture_se': '2.079', 'perimeter_se': '3.167', 'area_se': '28.85', 'smoothness_se': '0.01582', 'compactness_se': '0.01966', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.01865', 'fractal_dimension_se': '0.006736', 'radius_worst': '10.17', 'texture_worst': '22.8', 'perimeter_worst': '64.01', 'area_worst': '317', 'smoothness_worst': '0.146', 'compactness_worst': '0.131', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.2445', 'fractal_dimension_worst': '0.08865'}
{'id': '903507', 'diagnosis': 'M', 'radius_mean': '15.49', 'texture_mean': '19.97', 'perimeter_mean': '102.4', 'area_mean': '744.7', 'smoothness_mean': '0.116', 'compactness_mean': '0.1562', 'concavity_mean': '0.1891', 'concave points_mean': '0.09113', 'symmetry_mean': '0.1929', 'fractal_dimension_mean': '0.06744', 'radius_se': '0.647', 'texture_se': '1.331', 'perimeter_se': '4.675', 'area_se': '66.91', 'smoothness_se': '0.007269', 'compactness_se': '0.02928', 'concavity_se': '0.04972', 'concave points_se': '0.01639', 'symmetry_se': '0.01852', 'fractal_dimension_se': '0.004232', 'radius_worst': '21.2', 'texture_worst': '29.41', 'perimeter_worst': '142.1', 'area_worst': '1359', 'smoothness_worst': '0.1681', 'compactness_worst': '0.3913', 'concavity_worst': '0.5553', 'concave points_worst': '0.2121', 'symmetry_worst': '0.3187', 'fractal_dimension_worst': '0.1019'}
{'id': '903516', 'diagnosis': 'M', 'radius_mean': '21.61', 'texture_mean': '22.28', 'perimeter_mean': '144.4', 'area_mean': '1407', 'smoothness_mean': '0.1167', 'compactness_mean': '0.2087', 'concavity_mean': '0.281', 'concave points_mean': '0.1562', 'symmetry_mean': '0.2162', 'fractal_dimension_mean': '0.06606', 'radius_se': '0.6242', 'texture_se': '0.9209', 'perimeter_se': '4.158', 'area_se': '80.99', 'smoothness_se': '0.005215', 'compactness_se': '0.03726', 'concavity_se': '0.04718', 'concave points_se': '0.01288', 'symmetry_se': '0.02045', 'fractal_dimension_se': '0.004028', 'radius_worst': '26.23', 'texture_worst': '28.74', 'perimeter_worst': '172', 'area_worst': '2081', 'smoothness_worst': '0.1502', 'compactness_worst': '0.5717', 'concavity_worst': '0.7053', 'concave points_worst': '0.2422', 'symmetry_worst': '0.3828', 'fractal_dimension_worst': '0.1007'}
{'id': '903554', 'diagnosis': 'B', 'radius_mean': '12.1', 'texture_mean': '17.72', 'perimeter_mean': '78.07', 'area_mean': '446.2', 'smoothness_mean': '0.1029', 'compactness_mean': '0.09758', 'concavity_mean': '0.04783', 'concave points_mean': '0.03326', 'symmetry_mean': '0.1937', 'fractal_dimension_mean': '0.06161', 'radius_se': '0.2841', 'texture_se': '1.652', 'perimeter_se': '1.869', 'area_se': '22.22', 'smoothness_se': '0.008146', 'compactness_se': '0.01631', 'concavity_se': '0.01843', 'concave points_se': '0.007513', 'symmetry_se': '0.02015', 'fractal_dimension_se': '0.001798', 'radius_worst': '13.56', 'texture_worst': '25.8', 'perimeter_worst': '88.33', 'area_worst': '559.5', 'smoothness_worst': '0.1432', 'compactness_worst': '0.1773', 'concavity_worst': '0.1603', 'concave points_worst': '0.06266', 'symmetry_worst': '0.3049', 'fractal_dimension_worst': '0.07081'}
{'id': '903811', 'diagnosis': 'B', 'radius_mean': '14.06', 'texture_mean': '17.18', 'perimeter_mean': '89.75', 'area_mean': '609.1', 'smoothness_mean': '0.08045', 'compactness_mean': '0.05361', 'concavity_mean': '0.02681', 'concave points_mean': '0.03251', 'symmetry_mean': '0.1641', 'fractal_dimension_mean': '0.05764', 'radius_se': '0.1504', 'texture_se': '1.685', 'perimeter_se': '1.237', 'area_se': '12.67', 'smoothness_se': '0.005371', 'compactness_se': '0.01273', 'concavity_se': '0.01132', 'concave points_se': '0.009155', 'symmetry_se': '0.01719', 'fractal_dimension_se': '0.001444', 'radius_worst': '14.92', 'texture_worst': '25.34', 'perimeter_worst': '96.42', 'area_worst': '684.5', 'smoothness_worst': '0.1066', 'compactness_worst': '0.1231', 'concavity_worst': '0.0846', 'concave points_worst': '0.07911', 'symmetry_worst': '0.2523', 'fractal_dimension_worst': '0.06609'}
{'id': '90401601', 'diagnosis': 'B', 'radius_mean': '13.51', 'texture_mean': '18.89', 'perimeter_mean': '88.1', 'area_mean': '558.1', 'smoothness_mean': '0.1059', 'compactness_mean': '0.1147', 'concavity_mean': '0.0858', 'concave points_mean': '0.05381', 'symmetry_mean': '0.1806', 'fractal_dimension_mean': '0.06079', 'radius_se': '0.2136', 'texture_se': '1.332', 'perimeter_se': '1.513', 'area_se': '19.29', 'smoothness_se': '0.005442', 'compactness_se': '0.01957', 'concavity_se': '0.03304', 'concave points_se': '0.01367', 'symmetry_se': '0.01315', 'fractal_dimension_se': '0.002464', 'radius_worst': '14.8', 'texture_worst': '27.2', 'perimeter_worst': '97.33', 'area_worst': '675.2', 'smoothness_worst': '0.1428', 'compactness_worst': '0.257', 'concavity_worst': '0.3438', 'concave points_worst': '0.1453', 'symmetry_worst': '0.2666', 'fractal_dimension_worst': '0.07686'}
{'id': '90401602', 'diagnosis': 'B', 'radius_mean': '12.8', 'texture_mean': '17.46', 'perimeter_mean': '83.05', 'area_mean': '508.3', 'smoothness_mean': '0.08044', 'compactness_mean': '0.08895', 'concavity_mean': '0.0739', 'concave points_mean': '0.04083', 'symmetry_mean': '0.1574', 'fractal_dimension_mean': '0.0575', 'radius_se': '0.3639', 'texture_se': '1.265', 'perimeter_se': '2.668', 'area_se': '30.57', 'smoothness_se': '0.005421', 'compactness_se': '0.03477', 'concavity_se': '0.04545', 'concave points_se': '0.01384', 'symmetry_se': '0.01869', 'fractal_dimension_se': '0.004067', 'radius_worst': '13.74', 'texture_worst': '21.06', 'perimeter_worst': '90.72', 'area_worst': '591', 'smoothness_worst': '0.09534', 'compactness_worst': '0.1812', 'concavity_worst': '0.1901', 'concave points_worst': '0.08296', 'symmetry_worst': '0.1988', 'fractal_dimension_worst': '0.07053'}
{'id': '904302', 'diagnosis': 'B', 'radius_mean': '11.06', 'texture_mean': '14.83', 'perimeter_mean': '70.31', 'area_mean': '378.2', 'smoothness_mean': '0.07741', 'compactness_mean': '0.04768', 'concavity_mean': '0.02712', 'concave points_mean': '0.007246', 'symmetry_mean': '0.1535', 'fractal_dimension_mean': '0.06214', 'radius_se': '0.1855', 'texture_se': '0.6881', 'perimeter_se': '1.263', 'area_se': '12.98', 'smoothness_se': '0.004259', 'compactness_se': '0.01469', 'concavity_se': '0.0194', 'concave points_se': '0.004168', 'symmetry_se': '0.01191', 'fractal_dimension_se': '0.003537', 'radius_worst': '12.68', 'texture_worst': '20.35', 'perimeter_worst': '80.79', 'area_worst': '496.7', 'smoothness_worst': '0.112', 'compactness_worst': '0.1879', 'concavity_worst': '0.2079', 'concave points_worst': '0.05556', 'symmetry_worst': '0.259', 'fractal_dimension_worst': '0.09158'}
{'id': '904357', 'diagnosis': 'B', 'radius_mean': '11.8', 'texture_mean': '17.26', 'perimeter_mean': '75.26', 'area_mean': '431.9', 'smoothness_mean': '0.09087', 'compactness_mean': '0.06232', 'concavity_mean': '0.02853', 'concave points_mean': '0.01638', 'symmetry_mean': '0.1847', 'fractal_dimension_mean': '0.06019', 'radius_se': '0.3438', 'texture_se': '1.14', 'perimeter_se': '2.225', 'area_se': '25.06', 'smoothness_se': '0.005463', 'compactness_se': '0.01964', 'concavity_se': '0.02079', 'concave points_se': '0.005398', 'symmetry_se': '0.01477', 'fractal_dimension_se': '0.003071', 'radius_worst': '13.45', 'texture_worst': '24.49', 'perimeter_worst': '86', 'area_worst': '562', 'smoothness_worst': '0.1244', 'compactness_worst': '0.1726', 'concavity_worst': '0.1449', 'concave points_worst': '0.05356', 'symmetry_worst': '0.2779', 'fractal_dimension_worst': '0.08121'}
{'id': '90439701', 'diagnosis': 'M', 'radius_mean': '17.91', 'texture_mean': '21.02', 'perimeter_mean': '124.4', 'area_mean': '994', 'smoothness_mean': '0.123', 'compactness_mean': '0.2576', 'concavity_mean': '0.3189', 'concave points_mean': '0.1198', 'symmetry_mean': '0.2113', 'fractal_dimension_mean': '0.07115', 'radius_se': '0.403', 'texture_se': '0.7747', 'perimeter_se': '3.123', 'area_se': '41.51', 'smoothness_se': '0.007159', 'compactness_se': '0.03718', 'concavity_se': '0.06165', 'concave points_se': '0.01051', 'symmetry_se': '0.01591', 'fractal_dimension_se': '0.005099', 'radius_worst': '20.8', 'texture_worst': '27.78', 'perimeter_worst': '149.6', 'area_worst': '1304', 'smoothness_worst': '0.1873', 'compactness_worst': '0.5917', 'concavity_worst': '0.9034', 'concave points_worst': '0.1964', 'symmetry_worst': '0.3245', 'fractal_dimension_worst': '0.1198'}
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{'id': '904689', 'diagnosis': 'B', 'radius_mean': '12.96', 'texture_mean': '18.29', 'perimeter_mean': '84.18', 'area_mean': '525.2', 'smoothness_mean': '0.07351', 'compactness_mean': '0.07899', 'concavity_mean': '0.04057', 'concave points_mean': '0.01883', 'symmetry_mean': '0.1874', 'fractal_dimension_mean': '0.05899', 'radius_se': '0.2357', 'texture_se': '1.299', 'perimeter_se': '2.397', 'area_se': '20.21', 'smoothness_se': '0.003629', 'compactness_se': '0.03713', 'concavity_se': '0.03452', 'concave points_se': '0.01065', 'symmetry_se': '0.02632', 'fractal_dimension_se': '0.003705', 'radius_worst': '14.13', 'texture_worst': '24.61', 'perimeter_worst': '96.31', 'area_worst': '621.9', 'smoothness_worst': '0.09329', 'compactness_worst': '0.2318', 'concavity_worst': '0.1604', 'concave points_worst': '0.06608', 'symmetry_worst': '0.3207', 'fractal_dimension_worst': '0.07247'}
{'id': '9047', 'diagnosis': 'B', 'radius_mean': '12.94', 'texture_mean': '16.17', 'perimeter_mean': '83.18', 'area_mean': '507.6', 'smoothness_mean': '0.09879', 'compactness_mean': '0.08836', 'concavity_mean': '0.03296', 'concave points_mean': '0.0239', 'symmetry_mean': '0.1735', 'fractal_dimension_mean': '0.062', 'radius_se': '0.1458', 'texture_se': '0.905', 'perimeter_se': '0.9975', 'area_se': '11.36', 'smoothness_se': '0.002887', 'compactness_se': '0.01285', 'concavity_se': '0.01613', 'concave points_se': '0.007308', 'symmetry_se': '0.0187', 'fractal_dimension_se': '0.001972', 'radius_worst': '13.86', 'texture_worst': '23.02', 'perimeter_worst': '89.69', 'area_worst': '580.9', 'smoothness_worst': '0.1172', 'compactness_worst': '0.1958', 'concavity_worst': '0.181', 'concave points_worst': '0.08388', 'symmetry_worst': '0.3297', 'fractal_dimension_worst': '0.07834'}
{'id': '904969', 'diagnosis': 'B', 'radius_mean': '12.34', 'texture_mean': '14.95', 'perimeter_mean': '78.29', 'area_mean': '469.1', 'smoothness_mean': '0.08682', 'compactness_mean': '0.04571', 'concavity_mean': '0.02109', 'concave points_mean': '0.02054', 'symmetry_mean': '0.1571', 'fractal_dimension_mean': '0.05708', 'radius_se': '0.3833', 'texture_se': '0.9078', 'perimeter_se': '2.602', 'area_se': '30.15', 'smoothness_se': '0.007702', 'compactness_se': '0.008491', 'concavity_se': '0.01307', 'concave points_se': '0.0103', 'symmetry_se': '0.0297', 'fractal_dimension_se': '0.001432', 'radius_worst': '13.18', 'texture_worst': '16.85', 'perimeter_worst': '84.11', 'area_worst': '533.1', 'smoothness_worst': '0.1048', 'compactness_worst': '0.06744', 'concavity_worst': '0.04921', 'concave points_worst': '0.04793', 'symmetry_worst': '0.2298', 'fractal_dimension_worst': '0.05974'}
{'id': '904971', 'diagnosis': 'B', 'radius_mean': '10.94', 'texture_mean': '18.59', 'perimeter_mean': '70.39', 'area_mean': '370', 'smoothness_mean': '0.1004', 'compactness_mean': '0.0746', 'concavity_mean': '0.04944', 'concave points_mean': '0.02932', 'symmetry_mean': '0.1486', 'fractal_dimension_mean': '0.06615', 'radius_se': '0.3796', 'texture_se': '1.743', 'perimeter_se': '3.018', 'area_se': '25.78', 'smoothness_se': '0.009519', 'compactness_se': '0.02134', 'concavity_se': '0.0199', 'concave points_se': '0.01155', 'symmetry_se': '0.02079', 'fractal_dimension_se': '0.002701', 'radius_worst': '12.4', 'texture_worst': '25.58', 'perimeter_worst': '82.76', 'area_worst': '472.4', 'smoothness_worst': '0.1363', 'compactness_worst': '0.1644', 'concavity_worst': '0.1412', 'concave points_worst': '0.07887', 'symmetry_worst': '0.2251', 'fractal_dimension_worst': '0.07732'}
{'id': '905189', 'diagnosis': 'B', 'radius_mean': '16.14', 'texture_mean': '14.86', 'perimeter_mean': '104.3', 'area_mean': '800', 'smoothness_mean': '0.09495', 'compactness_mean': '0.08501', 'concavity_mean': '0.055', 'concave points_mean': '0.04528', 'symmetry_mean': '0.1735', 'fractal_dimension_mean': '0.05875', 'radius_se': '0.2387', 'texture_se': '0.6372', 'perimeter_se': '1.729', 'area_se': '21.83', 'smoothness_se': '0.003958', 'compactness_se': '0.01246', 'concavity_se': '0.01831', 'concave points_se': '0.008747', 'symmetry_se': '0.015', 'fractal_dimension_se': '0.001621', 'radius_worst': '17.71', 'texture_worst': '19.58', 'perimeter_worst': '115.9', 'area_worst': '947.9', 'smoothness_worst': '0.1206', 'compactness_worst': '0.1722', 'concavity_worst': '0.231', 'concave points_worst': '0.1129', 'symmetry_worst': '0.2778', 'fractal_dimension_worst': '0.07012'}
{'id': '905190', 'diagnosis': 'B', 'radius_mean': '12.85', 'texture_mean': '21.37', 'perimeter_mean': '82.63', 'area_mean': '514.5', 'smoothness_mean': '0.07551', 'compactness_mean': '0.08316', 'concavity_mean': '0.06126', 'concave points_mean': '0.01867', 'symmetry_mean': '0.158', 'fractal_dimension_mean': '0.06114', 'radius_se': '0.4993', 'texture_se': '1.798', 'perimeter_se': '2.552', 'area_se': '41.24', 'smoothness_se': '0.006011', 'compactness_se': '0.0448', 'concavity_se': '0.05175', 'concave points_se': '0.01341', 'symmetry_se': '0.02669', 'fractal_dimension_se': '0.007731', 'radius_worst': '14.4', 'texture_worst': '27.01', 'perimeter_worst': '91.63', 'area_worst': '645.8', 'smoothness_worst': '0.09402', 'compactness_worst': '0.1936', 'concavity_worst': '0.1838', 'concave points_worst': '0.05601', 'symmetry_worst': '0.2488', 'fractal_dimension_worst': '0.08151'}
{'id': '90524101', 'diagnosis': 'M', 'radius_mean': '17.99', 'texture_mean': '20.66', 'perimeter_mean': '117.8', 'area_mean': '991.7', 'smoothness_mean': '0.1036', 'compactness_mean': '0.1304', 'concavity_mean': '0.1201', 'concave points_mean': '0.08824', 'symmetry_mean': '0.1992', 'fractal_dimension_mean': '0.06069', 'radius_se': '0.4537', 'texture_se': '0.8733', 'perimeter_se': '3.061', 'area_se': '49.81', 'smoothness_se': '0.007231', 'compactness_se': '0.02772', 'concavity_se': '0.02509', 'concave points_se': '0.0148', 'symmetry_se': '0.01414', 'fractal_dimension_se': '0.003336', 'radius_worst': '21.08', 'texture_worst': '25.41', 'perimeter_worst': '138.1', 'area_worst': '1349', 'smoothness_worst': '0.1482', 'compactness_worst': '0.3735', 'concavity_worst': '0.3301', 'concave points_worst': '0.1974', 'symmetry_worst': '0.306', 'fractal_dimension_worst': '0.08503'}
{'id': '905501', 'diagnosis': 'B', 'radius_mean': '12.27', 'texture_mean': '17.92', 'perimeter_mean': '78.41', 'area_mean': '466.1', 'smoothness_mean': '0.08685', 'compactness_mean': '0.06526', 'concavity_mean': '0.03211', 'concave points_mean': '0.02653', 'symmetry_mean': '0.1966', 'fractal_dimension_mean': '0.05597', 'radius_se': '0.3342', 'texture_se': '1.781', 'perimeter_se': '2.079', 'area_se': '25.79', 'smoothness_se': '0.005888', 'compactness_se': '0.0231', 'concavity_se': '0.02059', 'concave points_se': '0.01075', 'symmetry_se': '0.02578', 'fractal_dimension_se': '0.002267', 'radius_worst': '14.1', 'texture_worst': '28.88', 'perimeter_worst': '89', 'area_worst': '610.2', 'smoothness_worst': '0.124', 'compactness_worst': '0.1795', 'concavity_worst': '0.1377', 'concave points_worst': '0.09532', 'symmetry_worst': '0.3455', 'fractal_dimension_worst': '0.06896'}
{'id': '905502', 'diagnosis': 'B', 'radius_mean': '11.36', 'texture_mean': '17.57', 'perimeter_mean': '72.49', 'area_mean': '399.8', 'smoothness_mean': '0.08858', 'compactness_mean': '0.05313', 'concavity_mean': '0.02783', 'concave points_mean': '0.021', 'symmetry_mean': '0.1601', 'fractal_dimension_mean': '0.05913', 'radius_se': '0.1916', 'texture_se': '1.555', 'perimeter_se': '1.359', 'area_se': '13.66', 'smoothness_se': '0.005391', 'compactness_se': '0.009947', 'concavity_se': '0.01163', 'concave points_se': '0.005872', 'symmetry_se': '0.01341', 'fractal_dimension_se': '0.001659', 'radius_worst': '13.05', 'texture_worst': '36.32', 'perimeter_worst': '85.07', 'area_worst': '521.3', 'smoothness_worst': '0.1453', 'compactness_worst': '0.1622', 'concavity_worst': '0.1811', 'concave points_worst': '0.08698', 'symmetry_worst': '0.2973', 'fractal_dimension_worst': '0.07745'}
{'id': '905520', 'diagnosis': 'B', 'radius_mean': '11.04', 'texture_mean': '16.83', 'perimeter_mean': '70.92', 'area_mean': '373.2', 'smoothness_mean': '0.1077', 'compactness_mean': '0.07804', 'concavity_mean': '0.03046', 'concave points_mean': '0.0248', 'symmetry_mean': '0.1714', 'fractal_dimension_mean': '0.0634', 'radius_se': '0.1967', 'texture_se': '1.387', 'perimeter_se': '1.342', 'area_se': '13.54', 'smoothness_se': '0.005158', 'compactness_se': '0.009355', 'concavity_se': '0.01056', 'concave points_se': '0.007483', 'symmetry_se': '0.01718', 'fractal_dimension_se': '0.002198', 'radius_worst': '12.41', 'texture_worst': '26.44', 'perimeter_worst': '79.93', 'area_worst': '471.4', 'smoothness_worst': '0.1369', 'compactness_worst': '0.1482', 'concavity_worst': '0.1067', 'concave points_worst': '0.07431', 'symmetry_worst': '0.2998', 'fractal_dimension_worst': '0.07881'}
{'id': '905539', 'diagnosis': 'B', 'radius_mean': '9.397', 'texture_mean': '21.68', 'perimeter_mean': '59.75', 'area_mean': '268.8', 'smoothness_mean': '0.07969', 'compactness_mean': '0.06053', 'concavity_mean': '0.03735', 'concave points_mean': '0.005128', 'symmetry_mean': '0.1274', 'fractal_dimension_mean': '0.06724', 'radius_se': '0.1186', 'texture_se': '1.182', 'perimeter_se': '1.174', 'area_se': '6.802', 'smoothness_se': '0.005515', 'compactness_se': '0.02674', 'concavity_se': '0.03735', 'concave points_se': '0.005128', 'symmetry_se': '0.01951', 'fractal_dimension_se': '0.004583', 'radius_worst': '9.965', 'texture_worst': '27.99', 'perimeter_worst': '66.61', 'area_worst': '301', 'smoothness_worst': '0.1086', 'compactness_worst': '0.1887', 'concavity_worst': '0.1868', 'concave points_worst': '0.02564', 'symmetry_worst': '0.2376', 'fractal_dimension_worst': '0.09206'}
{'id': '905557', 'diagnosis': 'B', 'radius_mean': '14.99', 'texture_mean': '22.11', 'perimeter_mean': '97.53', 'area_mean': '693.7', 'smoothness_mean': '0.08515', 'compactness_mean': '0.1025', 'concavity_mean': '0.06859', 'concave points_mean': '0.03876', 'symmetry_mean': '0.1944', 'fractal_dimension_mean': '0.05913', 'radius_se': '0.3186', 'texture_se': '1.336', 'perimeter_se': '2.31', 'area_se': '28.51', 'smoothness_se': '0.004449', 'compactness_se': '0.02808', 'concavity_se': '0.03312', 'concave points_se': '0.01196', 'symmetry_se': '0.01906', 'fractal_dimension_se': '0.004015', 'radius_worst': '16.76', 'texture_worst': '31.55', 'perimeter_worst': '110.2', 'area_worst': '867.1', 'smoothness_worst': '0.1077', 'compactness_worst': '0.3345', 'concavity_worst': '0.3114', 'concave points_worst': '0.1308', 'symmetry_worst': '0.3163', 'fractal_dimension_worst': '0.09251'}
{'id': '905680', 'diagnosis': 'M', 'radius_mean': '15.13', 'texture_mean': '29.81', 'perimeter_mean': '96.71', 'area_mean': '719.5', 'smoothness_mean': '0.0832', 'compactness_mean': '0.04605', 'concavity_mean': '0.04686', 'concave points_mean': '0.02739', 'symmetry_mean': '0.1852', 'fractal_dimension_mean': '0.05294', 'radius_se': '0.4681', 'texture_se': '1.627', 'perimeter_se': '3.043', 'area_se': '45.38', 'smoothness_se': '0.006831', 'compactness_se': '0.01427', 'concavity_se': '0.02489', 'concave points_se': '0.009087', 'symmetry_se': '0.03151', 'fractal_dimension_se': '0.00175', 'radius_worst': '17.26', 'texture_worst': '36.91', 'perimeter_worst': '110.1', 'area_worst': '931.4', 'smoothness_worst': '0.1148', 'compactness_worst': '0.09866', 'concavity_worst': '0.1547', 'concave points_worst': '0.06575', 'symmetry_worst': '0.3233', 'fractal_dimension_worst': '0.06165'}
{'id': '905686', 'diagnosis': 'B', 'radius_mean': '11.89', 'texture_mean': '21.17', 'perimeter_mean': '76.39', 'area_mean': '433.8', 'smoothness_mean': '0.09773', 'compactness_mean': '0.0812', 'concavity_mean': '0.02555', 'concave points_mean': '0.02179', 'symmetry_mean': '0.2019', 'fractal_dimension_mean': '0.0629', 'radius_se': '0.2747', 'texture_se': '1.203', 'perimeter_se': '1.93', 'area_se': '19.53', 'smoothness_se': '0.009895', 'compactness_se': '0.03053', 'concavity_se': '0.0163', 'concave points_se': '0.009276', 'symmetry_se': '0.02258', 'fractal_dimension_se': '0.002272', 'radius_worst': '13.05', 'texture_worst': '27.21', 'perimeter_worst': '85.09', 'area_worst': '522.9', 'smoothness_worst': '0.1426', 'compactness_worst': '0.2187', 'concavity_worst': '0.1164', 'concave points_worst': '0.08263', 'symmetry_worst': '0.3075', 'fractal_dimension_worst': '0.07351'}
{'id': '905978', 'diagnosis': 'B', 'radius_mean': '9.405', 'texture_mean': '21.7', 'perimeter_mean': '59.6', 'area_mean': '271.2', 'smoothness_mean': '0.1044', 'compactness_mean': '0.06159', 'concavity_mean': '0.02047', 'concave points_mean': '0.01257', 'symmetry_mean': '0.2025', 'fractal_dimension_mean': '0.06601', 'radius_se': '0.4302', 'texture_se': '2.878', 'perimeter_se': '2.759', 'area_se': '25.17', 'smoothness_se': '0.01474', 'compactness_se': '0.01674', 'concavity_se': '0.01367', 'concave points_se': '0.008674', 'symmetry_se': '0.03044', 'fractal_dimension_se': '0.00459', 'radius_worst': '10.85', 'texture_worst': '31.24', 'perimeter_worst': '68.73', 'area_worst': '359.4', 'smoothness_worst': '0.1526', 'compactness_worst': '0.1193', 'concavity_worst': '0.06141', 'concave points_worst': '0.0377', 'symmetry_worst': '0.2872', 'fractal_dimension_worst': '0.08304'}
{'id': '90602302', 'diagnosis': 'M', 'radius_mean': '15.5', 'texture_mean': '21.08', 'perimeter_mean': '102.9', 'area_mean': '803.1', 'smoothness_mean': '0.112', 'compactness_mean': '0.1571', 'concavity_mean': '0.1522', 'concave points_mean': '0.08481', 'symmetry_mean': '0.2085', 'fractal_dimension_mean': '0.06864', 'radius_se': '1.37', 'texture_se': '1.213', 'perimeter_se': '9.424', 'area_se': '176.5', 'smoothness_se': '0.008198', 'compactness_se': '0.03889', 'concavity_se': '0.04493', 'concave points_se': '0.02139', 'symmetry_se': '0.02018', 'fractal_dimension_se': '0.005815', 'radius_worst': '23.17', 'texture_worst': '27.65', 'perimeter_worst': '157.1', 'area_worst': '1748', 'smoothness_worst': '0.1517', 'compactness_worst': '0.4002', 'concavity_worst': '0.4211', 'concave points_worst': '0.2134', 'symmetry_worst': '0.3003', 'fractal_dimension_worst': '0.1048'}
{'id': '906024', 'diagnosis': 'B', 'radius_mean': '12.7', 'texture_mean': '12.17', 'perimeter_mean': '80.88', 'area_mean': '495', 'smoothness_mean': '0.08785', 'compactness_mean': '0.05794', 'concavity_mean': '0.0236', 'concave points_mean': '0.02402', 'symmetry_mean': '0.1583', 'fractal_dimension_mean': '0.06275', 'radius_se': '0.2253', 'texture_se': '0.6457', 'perimeter_se': '1.527', 'area_se': '17.37', 'smoothness_se': '0.006131', 'compactness_se': '0.01263', 'concavity_se': '0.009075', 'concave points_se': '0.008231', 'symmetry_se': '0.01713', 'fractal_dimension_se': '0.004414', 'radius_worst': '13.65', 'texture_worst': '16.92', 'perimeter_worst': '88.12', 'area_worst': '566.9', 'smoothness_worst': '0.1314', 'compactness_worst': '0.1607', 'concavity_worst': '0.09385', 'concave points_worst': '0.08224', 'symmetry_worst': '0.2775', 'fractal_dimension_worst': '0.09464'}
{'id': '906290', 'diagnosis': 'B', 'radius_mean': '11.16', 'texture_mean': '21.41', 'perimeter_mean': '70.95', 'area_mean': '380.3', 'smoothness_mean': '0.1018', 'compactness_mean': '0.05978', 'concavity_mean': '0.008955', 'concave points_mean': '0.01076', 'symmetry_mean': '0.1615', 'fractal_dimension_mean': '0.06144', 'radius_se': '0.2865', 'texture_se': '1.678', 'perimeter_se': '1.968', 'area_se': '18.99', 'smoothness_se': '0.006908', 'compactness_se': '0.009442', 'concavity_se': '0.006972', 'concave points_se': '0.006159', 'symmetry_se': '0.02694', 'fractal_dimension_se': '0.00206', 'radius_worst': '12.36', 'texture_worst': '28.92', 'perimeter_worst': '79.26', 'area_worst': '458', 'smoothness_worst': '0.1282', 'compactness_worst': '0.1108', 'concavity_worst': '0.03582', 'concave points_worst': '0.04306', 'symmetry_worst': '0.2976', 'fractal_dimension_worst': '0.07123'}
{'id': '906539', 'diagnosis': 'B', 'radius_mean': '11.57', 'texture_mean': '19.04', 'perimeter_mean': '74.2', 'area_mean': '409.7', 'smoothness_mean': '0.08546', 'compactness_mean': '0.07722', 'concavity_mean': '0.05485', 'concave points_mean': '0.01428', 'symmetry_mean': '0.2031', 'fractal_dimension_mean': '0.06267', 'radius_se': '0.2864', 'texture_se': '1.44', 'perimeter_se': '2.206', 'area_se': '20.3', 'smoothness_se': '0.007278', 'compactness_se': '0.02047', 'concavity_se': '0.04447', 'concave points_se': '0.008799', 'symmetry_se': '0.01868', 'fractal_dimension_se': '0.003339', 'radius_worst': '13.07', 'texture_worst': '26.98', 'perimeter_worst': '86.43', 'area_worst': '520.5', 'smoothness_worst': '0.1249', 'compactness_worst': '0.1937', 'concavity_worst': '0.256', 'concave points_worst': '0.06664', 'symmetry_worst': '0.3035', 'fractal_dimension_worst': '0.08284'}
{'id': '906564', 'diagnosis': 'B', 'radius_mean': '14.69', 'texture_mean': '13.98', 'perimeter_mean': '98.22', 'area_mean': '656.1', 'smoothness_mean': '0.1031', 'compactness_mean': '0.1836', 'concavity_mean': '0.145', 'concave points_mean': '0.063', 'symmetry_mean': '0.2086', 'fractal_dimension_mean': '0.07406', 'radius_se': '0.5462', 'texture_se': '1.511', 'perimeter_se': '4.795', 'area_se': '49.45', 'smoothness_se': '0.009976', 'compactness_se': '0.05244', 'concavity_se': '0.05278', 'concave points_se': '0.0158', 'symmetry_se': '0.02653', 'fractal_dimension_se': '0.005444', 'radius_worst': '16.46', 'texture_worst': '18.34', 'perimeter_worst': '114.1', 'area_worst': '809.2', 'smoothness_worst': '0.1312', 'compactness_worst': '0.3635', 'concavity_worst': '0.3219', 'concave points_worst': '0.1108', 'symmetry_worst': '0.2827', 'fractal_dimension_worst': '0.09208'}
{'id': '906616', 'diagnosis': 'B', 'radius_mean': '11.61', 'texture_mean': '16.02', 'perimeter_mean': '75.46', 'area_mean': '408.2', 'smoothness_mean': '0.1088', 'compactness_mean': '0.1168', 'concavity_mean': '0.07097', 'concave points_mean': '0.04497', 'symmetry_mean': '0.1886', 'fractal_dimension_mean': '0.0632', 'radius_se': '0.2456', 'texture_se': '0.7339', 'perimeter_se': '1.667', 'area_se': '15.89', 'smoothness_se': '0.005884', 'compactness_se': '0.02005', 'concavity_se': '0.02631', 'concave points_se': '0.01304', 'symmetry_se': '0.01848', 'fractal_dimension_se': '0.001982', 'radius_worst': '12.64', 'texture_worst': '19.67', 'perimeter_worst': '81.93', 'area_worst': '475.7', 'smoothness_worst': '0.1415', 'compactness_worst': '0.217', 'concavity_worst': '0.2302', 'concave points_worst': '0.1105', 'symmetry_worst': '0.2787', 'fractal_dimension_worst': '0.07427'}
{'id': '906878', 'diagnosis': 'B', 'radius_mean': '13.66', 'texture_mean': '19.13', 'perimeter_mean': '89.46', 'area_mean': '575.3', 'smoothness_mean': '0.09057', 'compactness_mean': '0.1147', 'concavity_mean': '0.09657', 'concave points_mean': '0.04812', 'symmetry_mean': '0.1848', 'fractal_dimension_mean': '0.06181', 'radius_se': '0.2244', 'texture_se': '0.895', 'perimeter_se': '1.804', 'area_se': '19.36', 'smoothness_se': '0.00398', 'compactness_se': '0.02809', 'concavity_se': '0.03669', 'concave points_se': '0.01274', 'symmetry_se': '0.01581', 'fractal_dimension_se': '0.003956', 'radius_worst': '15.14', 'texture_worst': '25.5', 'perimeter_worst': '101.4', 'area_worst': '708.8', 'smoothness_worst': '0.1147', 'compactness_worst': '0.3167', 'concavity_worst': '0.366', 'concave points_worst': '0.1407', 'symmetry_worst': '0.2744', 'fractal_dimension_worst': '0.08839'}
{'id': '907145', 'diagnosis': 'B', 'radius_mean': '9.742', 'texture_mean': '19.12', 'perimeter_mean': '61.93', 'area_mean': '289.7', 'smoothness_mean': '0.1075', 'compactness_mean': '0.08333', 'concavity_mean': '0.008934', 'concave points_mean': '0.01967', 'symmetry_mean': '0.2538', 'fractal_dimension_mean': '0.07029', 'radius_se': '0.6965', 'texture_se': '1.747', 'perimeter_se': '4.607', 'area_se': '43.52', 'smoothness_se': '0.01307', 'compactness_se': '0.01885', 'concavity_se': '0.006021', 'concave points_se': '0.01052', 'symmetry_se': '0.031', 'fractal_dimension_se': '0.004225', 'radius_worst': '11.21', 'texture_worst': '23.17', 'perimeter_worst': '71.79', 'area_worst': '380.9', 'smoothness_worst': '0.1398', 'compactness_worst': '0.1352', 'concavity_worst': '0.02085', 'concave points_worst': '0.04589', 'symmetry_worst': '0.3196', 'fractal_dimension_worst': '0.08009'}
{'id': '907367', 'diagnosis': 'B', 'radius_mean': '10.03', 'texture_mean': '21.28', 'perimeter_mean': '63.19', 'area_mean': '307.3', 'smoothness_mean': '0.08117', 'compactness_mean': '0.03912', 'concavity_mean': '0.00247', 'concave points_mean': '0.005159', 'symmetry_mean': '0.163', 'fractal_dimension_mean': '0.06439', 'radius_se': '0.1851', 'texture_se': '1.341', 'perimeter_se': '1.184', 'area_se': '11.6', 'smoothness_se': '0.005724', 'compactness_se': '0.005697', 'concavity_se': '0.002074', 'concave points_se': '0.003527', 'symmetry_se': '0.01445', 'fractal_dimension_se': '0.002411', 'radius_worst': '11.11', 'texture_worst': '28.94', 'perimeter_worst': '69.92', 'area_worst': '376.3', 'smoothness_worst': '0.1126', 'compactness_worst': '0.07094', 'concavity_worst': '0.01235', 'concave points_worst': '0.02579', 'symmetry_worst': '0.2349', 'fractal_dimension_worst': '0.08061'}
{'id': '907409', 'diagnosis': 'B', 'radius_mean': '10.48', 'texture_mean': '14.98', 'perimeter_mean': '67.49', 'area_mean': '333.6', 'smoothness_mean': '0.09816', 'compactness_mean': '0.1013', 'concavity_mean': '0.06335', 'concave points_mean': '0.02218', 'symmetry_mean': '0.1925', 'fractal_dimension_mean': '0.06915', 'radius_se': '0.3276', 'texture_se': '1.127', 'perimeter_se': '2.564', 'area_se': '20.77', 'smoothness_se': '0.007364', 'compactness_se': '0.03867', 'concavity_se': '0.05263', 'concave points_se': '0.01264', 'symmetry_se': '0.02161', 'fractal_dimension_se': '0.00483', 'radius_worst': '12.13', 'texture_worst': '21.57', 'perimeter_worst': '81.41', 'area_worst': '440.4', 'smoothness_worst': '0.1327', 'compactness_worst': '0.2996', 'concavity_worst': '0.2939', 'concave points_worst': '0.0931', 'symmetry_worst': '0.302', 'fractal_dimension_worst': '0.09646'}
{'id': '90745', 'diagnosis': 'B', 'radius_mean': '10.8', 'texture_mean': '21.98', 'perimeter_mean': '68.79', 'area_mean': '359.9', 'smoothness_mean': '0.08801', 'compactness_mean': '0.05743', 'concavity_mean': '0.03614', 'concave points_mean': '0.01404', 'symmetry_mean': '0.2016', 'fractal_dimension_mean': '0.05977', 'radius_se': '0.3077', 'texture_se': '1.621', 'perimeter_se': '2.24', 'area_se': '20.2', 'smoothness_se': '0.006543', 'compactness_se': '0.02148', 'concavity_se': '0.02991', 'concave points_se': '0.01045', 'symmetry_se': '0.01844', 'fractal_dimension_se': '0.00269', 'radius_worst': '12.76', 'texture_worst': '32.04', 'perimeter_worst': '83.69', 'area_worst': '489.5', 'smoothness_worst': '0.1303', 'compactness_worst': '0.1696', 'concavity_worst': '0.1927', 'concave points_worst': '0.07485', 'symmetry_worst': '0.2965', 'fractal_dimension_worst': '0.07662'}
{'id': '90769601', 'diagnosis': 'B', 'radius_mean': '11.13', 'texture_mean': '16.62', 'perimeter_mean': '70.47', 'area_mean': '381.1', 'smoothness_mean': '0.08151', 'compactness_mean': '0.03834', 'concavity_mean': '0.01369', 'concave points_mean': '0.0137', 'symmetry_mean': '0.1511', 'fractal_dimension_mean': '0.06148', 'radius_se': '0.1415', 'texture_se': '0.9671', 'perimeter_se': '0.968', 'area_se': '9.704', 'smoothness_se': '0.005883', 'compactness_se': '0.006263', 'concavity_se': '0.009398', 'concave points_se': '0.006189', 'symmetry_se': '0.02009', 'fractal_dimension_se': '0.002377', 'radius_worst': '11.68', 'texture_worst': '20.29', 'perimeter_worst': '74.35', 'area_worst': '421.1', 'smoothness_worst': '0.103', 'compactness_worst': '0.06219', 'concavity_worst': '0.0458', 'concave points_worst': '0.04044', 'symmetry_worst': '0.2383', 'fractal_dimension_worst': '0.07083'}
{'id': '90769602', 'diagnosis': 'B', 'radius_mean': '12.72', 'texture_mean': '17.67', 'perimeter_mean': '80.98', 'area_mean': '501.3', 'smoothness_mean': '0.07896', 'compactness_mean': '0.04522', 'concavity_mean': '0.01402', 'concave points_mean': '0.01835', 'symmetry_mean': '0.1459', 'fractal_dimension_mean': '0.05544', 'radius_se': '0.2954', 'texture_se': '0.8836', 'perimeter_se': '2.109', 'area_se': '23.24', 'smoothness_se': '0.007337', 'compactness_se': '0.01174', 'concavity_se': '0.005383', 'concave points_se': '0.005623', 'symmetry_se': '0.0194', 'fractal_dimension_se': '0.00118', 'radius_worst': '13.82', 'texture_worst': '20.96', 'perimeter_worst': '88.87', 'area_worst': '586.8', 'smoothness_worst': '0.1068', 'compactness_worst': '0.09605', 'concavity_worst': '0.03469', 'concave points_worst': '0.03612', 'symmetry_worst': '0.2165', 'fractal_dimension_worst': '0.06025'}
{'id': '907914', 'diagnosis': 'M', 'radius_mean': '14.9', 'texture_mean': '22.53', 'perimeter_mean': '102.1', 'area_mean': '685', 'smoothness_mean': '0.09947', 'compactness_mean': '0.2225', 'concavity_mean': '0.2733', 'concave points_mean': '0.09711', 'symmetry_mean': '0.2041', 'fractal_dimension_mean': '0.06898', 'radius_se': '0.253', 'texture_se': '0.8749', 'perimeter_se': '3.466', 'area_se': '24.19', 'smoothness_se': '0.006965', 'compactness_se': '0.06213', 'concavity_se': '0.07926', 'concave points_se': '0.02234', 'symmetry_se': '0.01499', 'fractal_dimension_se': '0.005784', 'radius_worst': '16.35', 'texture_worst': '27.57', 'perimeter_worst': '125.4', 'area_worst': '832.7', 'smoothness_worst': '0.1419', 'compactness_worst': '0.709', 'concavity_worst': '0.9019', 'concave points_worst': '0.2475', 'symmetry_worst': '0.2866', 'fractal_dimension_worst': '0.1155'}
{'id': '907915', 'diagnosis': 'B', 'radius_mean': '12.4', 'texture_mean': '17.68', 'perimeter_mean': '81.47', 'area_mean': '467.8', 'smoothness_mean': '0.1054', 'compactness_mean': '0.1316', 'concavity_mean': '0.07741', 'concave points_mean': '0.02799', 'symmetry_mean': '0.1811', 'fractal_dimension_mean': '0.07102', 'radius_se': '0.1767', 'texture_se': '1.46', 'perimeter_se': '2.204', 'area_se': '15.43', 'smoothness_se': '0.01', 'compactness_se': '0.03295', 'concavity_se': '0.04861', 'concave points_se': '0.01167', 'symmetry_se': '0.02187', 'fractal_dimension_se': '0.006005', 'radius_worst': '12.88', 'texture_worst': '22.91', 'perimeter_worst': '89.61', 'area_worst': '515.8', 'smoothness_worst': '0.145', 'compactness_worst': '0.2629', 'concavity_worst': '0.2403', 'concave points_worst': '0.0737', 'symmetry_worst': '0.2556', 'fractal_dimension_worst': '0.09359'}
{'id': '908194', 'diagnosis': 'M', 'radius_mean': '20.18', 'texture_mean': '19.54', 'perimeter_mean': '133.8', 'area_mean': '1250', 'smoothness_mean': '0.1133', 'compactness_mean': '0.1489', 'concavity_mean': '0.2133', 'concave points_mean': '0.1259', 'symmetry_mean': '0.1724', 'fractal_dimension_mean': '0.06053', 'radius_se': '0.4331', 'texture_se': '1.001', 'perimeter_se': '3.008', 'area_se': '52.49', 'smoothness_se': '0.009087', 'compactness_se': '0.02715', 'concavity_se': '0.05546', 'concave points_se': '0.0191', 'symmetry_se': '0.02451', 'fractal_dimension_se': '0.004005', 'radius_worst': '22.03', 'texture_worst': '25.07', 'perimeter_worst': '146', 'area_worst': '1479', 'smoothness_worst': '0.1665', 'compactness_worst': '0.2942', 'concavity_worst': '0.5308', 'concave points_worst': '0.2173', 'symmetry_worst': '0.3032', 'fractal_dimension_worst': '0.08075'}
{'id': '908445', 'diagnosis': 'M', 'radius_mean': '18.82', 'texture_mean': '21.97', 'perimeter_mean': '123.7', 'area_mean': '1110', 'smoothness_mean': '0.1018', 'compactness_mean': '0.1389', 'concavity_mean': '0.1594', 'concave points_mean': '0.08744', 'symmetry_mean': '0.1943', 'fractal_dimension_mean': '0.06132', 'radius_se': '0.8191', 'texture_se': '1.931', 'perimeter_se': '4.493', 'area_se': '103.9', 'smoothness_se': '0.008074', 'compactness_se': '0.04088', 'concavity_se': '0.05321', 'concave points_se': '0.01834', 'symmetry_se': '0.02383', 'fractal_dimension_se': '0.004515', 'radius_worst': '22.66', 'texture_worst': '30.93', 'perimeter_worst': '145.3', 'area_worst': '1603', 'smoothness_worst': '0.139', 'compactness_worst': '0.3463', 'concavity_worst': '0.3912', 'concave points_worst': '0.1708', 'symmetry_worst': '0.3007', 'fractal_dimension_worst': '0.08314'}
{'id': '908469', 'diagnosis': 'B', 'radius_mean': '14.86', 'texture_mean': '16.94', 'perimeter_mean': '94.89', 'area_mean': '673.7', 'smoothness_mean': '0.08924', 'compactness_mean': '0.07074', 'concavity_mean': '0.03346', 'concave points_mean': '0.02877', 'symmetry_mean': '0.1573', 'fractal_dimension_mean': '0.05703', 'radius_se': '0.3028', 'texture_se': '0.6683', 'perimeter_se': '1.612', 'area_se': '23.92', 'smoothness_se': '0.005756', 'compactness_se': '0.01665', 'concavity_se': '0.01461', 'concave points_se': '0.008281', 'symmetry_se': '0.01551', 'fractal_dimension_se': '0.002168', 'radius_worst': '16.31', 'texture_worst': '20.54', 'perimeter_worst': '102.3', 'area_worst': '777.5', 'smoothness_worst': '0.1218', 'compactness_worst': '0.155', 'concavity_worst': '0.122', 'concave points_worst': '0.07971', 'symmetry_worst': '0.2525', 'fractal_dimension_worst': '0.06827'}
{'id': '908489', 'diagnosis': 'M', 'radius_mean': '13.98', 'texture_mean': '19.62', 'perimeter_mean': '91.12', 'area_mean': '599.5', 'smoothness_mean': '0.106', 'compactness_mean': '0.1133', 'concavity_mean': '0.1126', 'concave points_mean': '0.06463', 'symmetry_mean': '0.1669', 'fractal_dimension_mean': '0.06544', 'radius_se': '0.2208', 'texture_se': '0.9533', 'perimeter_se': '1.602', 'area_se': '18.85', 'smoothness_se': '0.005314', 'compactness_se': '0.01791', 'concavity_se': '0.02185', 'concave points_se': '0.009567', 'symmetry_se': '0.01223', 'fractal_dimension_se': '0.002846', 'radius_worst': '17.04', 'texture_worst': '30.8', 'perimeter_worst': '113.9', 'area_worst': '869.3', 'smoothness_worst': '0.1613', 'compactness_worst': '0.3568', 'concavity_worst': '0.4069', 'concave points_worst': '0.1827', 'symmetry_worst': '0.3179', 'fractal_dimension_worst': '0.1055'}
{'id': '908916', 'diagnosis': 'B', 'radius_mean': '12.87', 'texture_mean': '19.54', 'perimeter_mean': '82.67', 'area_mean': '509.2', 'smoothness_mean': '0.09136', 'compactness_mean': '0.07883', 'concavity_mean': '0.01797', 'concave points_mean': '0.0209', 'symmetry_mean': '0.1861', 'fractal_dimension_mean': '0.06347', 'radius_se': '0.3665', 'texture_se': '0.7693', 'perimeter_se': '2.597', 'area_se': '26.5', 'smoothness_se': '0.00591', 'compactness_se': '0.01362', 'concavity_se': '0.007066', 'concave points_se': '0.006502', 'symmetry_se': '0.02223', 'fractal_dimension_se': '0.002378', 'radius_worst': '14.45', 'texture_worst': '24.38', 'perimeter_worst': '95.14', 'area_worst': '626.9', 'smoothness_worst': '0.1214', 'compactness_worst': '0.1652', 'concavity_worst': '0.07127', 'concave points_worst': '0.06384', 'symmetry_worst': '0.3313', 'fractal_dimension_worst': '0.07735'}
{'id': '909220', 'diagnosis': 'B', 'radius_mean': '14.04', 'texture_mean': '15.98', 'perimeter_mean': '89.78', 'area_mean': '611.2', 'smoothness_mean': '0.08458', 'compactness_mean': '0.05895', 'concavity_mean': '0.03534', 'concave points_mean': '0.02944', 'symmetry_mean': '0.1714', 'fractal_dimension_mean': '0.05898', 'radius_se': '0.3892', 'texture_se': '1.046', 'perimeter_se': '2.644', 'area_se': '32.74', 'smoothness_se': '0.007976', 'compactness_se': '0.01295', 'concavity_se': '0.01608', 'concave points_se': '0.009046', 'symmetry_se': '0.02005', 'fractal_dimension_se': '0.00283', 'radius_worst': '15.66', 'texture_worst': '21.58', 'perimeter_worst': '101.2', 'area_worst': '750', 'smoothness_worst': '0.1195', 'compactness_worst': '0.1252', 'concavity_worst': '0.1117', 'concave points_worst': '0.07453', 'symmetry_worst': '0.2725', 'fractal_dimension_worst': '0.07234'}
{'id': '909231', 'diagnosis': 'B', 'radius_mean': '13.85', 'texture_mean': '19.6', 'perimeter_mean': '88.68', 'area_mean': '592.6', 'smoothness_mean': '0.08684', 'compactness_mean': '0.0633', 'concavity_mean': '0.01342', 'concave points_mean': '0.02293', 'symmetry_mean': '0.1555', 'fractal_dimension_mean': '0.05673', 'radius_se': '0.3419', 'texture_se': '1.678', 'perimeter_se': '2.331', 'area_se': '29.63', 'smoothness_se': '0.005836', 'compactness_se': '0.01095', 'concavity_se': '0.005812', 'concave points_se': '0.007039', 'symmetry_se': '0.02014', 'fractal_dimension_se': '0.002326', 'radius_worst': '15.63', 'texture_worst': '28.01', 'perimeter_worst': '100.9', 'area_worst': '749.1', 'smoothness_worst': '0.1118', 'compactness_worst': '0.1141', 'concavity_worst': '0.04753', 'concave points_worst': '0.0589', 'symmetry_worst': '0.2513', 'fractal_dimension_worst': '0.06911'}
{'id': '909410', 'diagnosis': 'B', 'radius_mean': '14.02', 'texture_mean': '15.66', 'perimeter_mean': '89.59', 'area_mean': '606.5', 'smoothness_mean': '0.07966', 'compactness_mean': '0.05581', 'concavity_mean': '0.02087', 'concave points_mean': '0.02652', 'symmetry_mean': '0.1589', 'fractal_dimension_mean': '0.05586', 'radius_se': '0.2142', 'texture_se': '0.6549', 'perimeter_se': '1.606', 'area_se': '19.25', 'smoothness_se': '0.004837', 'compactness_se': '0.009238', 'concavity_se': '0.009213', 'concave points_se': '0.01076', 'symmetry_se': '0.01171', 'fractal_dimension_se': '0.002104', 'radius_worst': '14.91', 'texture_worst': '19.31', 'perimeter_worst': '96.53', 'area_worst': '688.9', 'smoothness_worst': '0.1034', 'compactness_worst': '0.1017', 'concavity_worst': '0.0626', 'concave points_worst': '0.08216', 'symmetry_worst': '0.2136', 'fractal_dimension_worst': '0.0671'}
{'id': '909411', 'diagnosis': 'B', 'radius_mean': '10.97', 'texture_mean': '17.2', 'perimeter_mean': '71.73', 'area_mean': '371.5', 'smoothness_mean': '0.08915', 'compactness_mean': '0.1113', 'concavity_mean': '0.09457', 'concave points_mean': '0.03613', 'symmetry_mean': '0.1489', 'fractal_dimension_mean': '0.0664', 'radius_se': '0.2574', 'texture_se': '1.376', 'perimeter_se': '2.806', 'area_se': '18.15', 'smoothness_se': '0.008565', 'compactness_se': '0.04638', 'concavity_se': '0.0643', 'concave points_se': '0.01768', 'symmetry_se': '0.01516', 'fractal_dimension_se': '0.004976', 'radius_worst': '12.36', 'texture_worst': '26.87', 'perimeter_worst': '90.14', 'area_worst': '476.4', 'smoothness_worst': '0.1391', 'compactness_worst': '0.4082', 'concavity_worst': '0.4779', 'concave points_worst': '0.1555', 'symmetry_worst': '0.254', 'fractal_dimension_worst': '0.09532'}
{'id': '909445', 'diagnosis': 'M', 'radius_mean': '17.27', 'texture_mean': '25.42', 'perimeter_mean': '112.4', 'area_mean': '928.8', 'smoothness_mean': '0.08331', 'compactness_mean': '0.1109', 'concavity_mean': '0.1204', 'concave points_mean': '0.05736', 'symmetry_mean': '0.1467', 'fractal_dimension_mean': '0.05407', 'radius_se': '0.51', 'texture_se': '1.679', 'perimeter_se': '3.283', 'area_se': '58.38', 'smoothness_se': '0.008109', 'compactness_se': '0.04308', 'concavity_se': '0.04942', 'concave points_se': '0.01742', 'symmetry_se': '0.01594', 'fractal_dimension_se': '0.003739', 'radius_worst': '20.38', 'texture_worst': '35.46', 'perimeter_worst': '132.8', 'area_worst': '1284', 'smoothness_worst': '0.1436', 'compactness_worst': '0.4122', 'concavity_worst': '0.5036', 'concave points_worst': '0.1739', 'symmetry_worst': '0.25', 'fractal_dimension_worst': '0.07944'}
{'id': '90944601', 'diagnosis': 'B', 'radius_mean': '13.78', 'texture_mean': '15.79', 'perimeter_mean': '88.37', 'area_mean': '585.9', 'smoothness_mean': '0.08817', 'compactness_mean': '0.06718', 'concavity_mean': '0.01055', 'concave points_mean': '0.009937', 'symmetry_mean': '0.1405', 'fractal_dimension_mean': '0.05848', 'radius_se': '0.3563', 'texture_se': '0.4833', 'perimeter_se': '2.235', 'area_se': '29.34', 'smoothness_se': '0.006432', 'compactness_se': '0.01156', 'concavity_se': '0.007741', 'concave points_se': '0.005657', 'symmetry_se': '0.01227', 'fractal_dimension_se': '0.002564', 'radius_worst': '15.27', 'texture_worst': '17.5', 'perimeter_worst': '97.9', 'area_worst': '706.6', 'smoothness_worst': '0.1072', 'compactness_worst': '0.1071', 'concavity_worst': '0.03517', 'concave points_worst': '0.03312', 'symmetry_worst': '0.1859', 'fractal_dimension_worst': '0.0681'}
{'id': '909777', 'diagnosis': 'B', 'radius_mean': '10.57', 'texture_mean': '18.32', 'perimeter_mean': '66.82', 'area_mean': '340.9', 'smoothness_mean': '0.08142', 'compactness_mean': '0.04462', 'concavity_mean': '0.01993', 'concave points_mean': '0.01111', 'symmetry_mean': '0.2372', 'fractal_dimension_mean': '0.05768', 'radius_se': '0.1818', 'texture_se': '2.542', 'perimeter_se': '1.277', 'area_se': '13.12', 'smoothness_se': '0.01072', 'compactness_se': '0.01331', 'concavity_se': '0.01993', 'concave points_se': '0.01111', 'symmetry_se': '0.01717', 'fractal_dimension_se': '0.004492', 'radius_worst': '10.94', 'texture_worst': '23.31', 'perimeter_worst': '69.35', 'area_worst': '366.3', 'smoothness_worst': '0.09794', 'compactness_worst': '0.06542', 'concavity_worst': '0.03986', 'concave points_worst': '0.02222', 'symmetry_worst': '0.2699', 'fractal_dimension_worst': '0.06736'}
{'id': '9110127', 'diagnosis': 'M', 'radius_mean': '18.03', 'texture_mean': '16.85', 'perimeter_mean': '117.5', 'area_mean': '990', 'smoothness_mean': '0.08947', 'compactness_mean': '0.1232', 'concavity_mean': '0.109', 'concave points_mean': '0.06254', 'symmetry_mean': '0.172', 'fractal_dimension_mean': '0.0578', 'radius_se': '0.2986', 'texture_se': '0.5906', 'perimeter_se': '1.921', 'area_se': '35.77', 'smoothness_se': '0.004117', 'compactness_se': '0.0156', 'concavity_se': '0.02975', 'concave points_se': '0.009753', 'symmetry_se': '0.01295', 'fractal_dimension_se': '0.002436', 'radius_worst': '20.38', 'texture_worst': '22.02', 'perimeter_worst': '133.3', 'area_worst': '1292', 'smoothness_worst': '0.1263', 'compactness_worst': '0.2666', 'concavity_worst': '0.429', 'concave points_worst': '0.1535', 'symmetry_worst': '0.2842', 'fractal_dimension_worst': '0.08225'}
{'id': '9110720', 'diagnosis': 'B', 'radius_mean': '11.99', 'texture_mean': '24.89', 'perimeter_mean': '77.61', 'area_mean': '441.3', 'smoothness_mean': '0.103', 'compactness_mean': '0.09218', 'concavity_mean': '0.05441', 'concave points_mean': '0.04274', 'symmetry_mean': '0.182', 'fractal_dimension_mean': '0.0685', 'radius_se': '0.2623', 'texture_se': '1.204', 'perimeter_se': '1.865', 'area_se': '19.39', 'smoothness_se': '0.00832', 'compactness_se': '0.02025', 'concavity_se': '0.02334', 'concave points_se': '0.01665', 'symmetry_se': '0.02094', 'fractal_dimension_se': '0.003674', 'radius_worst': '12.98', 'texture_worst': '30.36', 'perimeter_worst': '84.48', 'area_worst': '513.9', 'smoothness_worst': '0.1311', 'compactness_worst': '0.1822', 'concavity_worst': '0.1609', 'concave points_worst': '0.1202', 'symmetry_worst': '0.2599', 'fractal_dimension_worst': '0.08251'}
{'id': '9110732', 'diagnosis': 'M', 'radius_mean': '17.75', 'texture_mean': '28.03', 'perimeter_mean': '117.3', 'area_mean': '981.6', 'smoothness_mean': '0.09997', 'compactness_mean': '0.1314', 'concavity_mean': '0.1698', 'concave points_mean': '0.08293', 'symmetry_mean': '0.1713', 'fractal_dimension_mean': '0.05916', 'radius_se': '0.3897', 'texture_se': '1.077', 'perimeter_se': '2.873', 'area_se': '43.95', 'smoothness_se': '0.004714', 'compactness_se': '0.02015', 'concavity_se': '0.03697', 'concave points_se': '0.0111', 'symmetry_se': '0.01237', 'fractal_dimension_se': '0.002556', 'radius_worst': '21.53', 'texture_worst': '38.54', 'perimeter_worst': '145.4', 'area_worst': '1437', 'smoothness_worst': '0.1401', 'compactness_worst': '0.3762', 'concavity_worst': '0.6399', 'concave points_worst': '0.197', 'symmetry_worst': '0.2972', 'fractal_dimension_worst': '0.09075'}
{'id': '9110944', 'diagnosis': 'B', 'radius_mean': '14.8', 'texture_mean': '17.66', 'perimeter_mean': '95.88', 'area_mean': '674.8', 'smoothness_mean': '0.09179', 'compactness_mean': '0.0889', 'concavity_mean': '0.04069', 'concave points_mean': '0.0226', 'symmetry_mean': '0.1893', 'fractal_dimension_mean': '0.05886', 'radius_se': '0.2204', 'texture_se': '0.6221', 'perimeter_se': '1.482', 'area_se': '19.75', 'smoothness_se': '0.004796', 'compactness_se': '0.01171', 'concavity_se': '0.01758', 'concave points_se': '0.006897', 'symmetry_se': '0.02254', 'fractal_dimension_se': '0.001971', 'radius_worst': '16.43', 'texture_worst': '22.74', 'perimeter_worst': '105.9', 'area_worst': '829.5', 'smoothness_worst': '0.1226', 'compactness_worst': '0.1881', 'concavity_worst': '0.206', 'concave points_worst': '0.08308', 'symmetry_worst': '0.36', 'fractal_dimension_worst': '0.07285'}
{'id': '911150', 'diagnosis': 'B', 'radius_mean': '14.53', 'texture_mean': '19.34', 'perimeter_mean': '94.25', 'area_mean': '659.7', 'smoothness_mean': '0.08388', 'compactness_mean': '0.078', 'concavity_mean': '0.08817', 'concave points_mean': '0.02925', 'symmetry_mean': '0.1473', 'fractal_dimension_mean': '0.05746', 'radius_se': '0.2535', 'texture_se': '1.354', 'perimeter_se': '1.994', 'area_se': '23.04', 'smoothness_se': '0.004147', 'compactness_se': '0.02048', 'concavity_se': '0.03379', 'concave points_se': '0.008848', 'symmetry_se': '0.01394', 'fractal_dimension_se': '0.002327', 'radius_worst': '16.3', 'texture_worst': '28.39', 'perimeter_worst': '108.1', 'area_worst': '830.5', 'smoothness_worst': '0.1089', 'compactness_worst': '0.2649', 'concavity_worst': '0.3779', 'concave points_worst': '0.09594', 'symmetry_worst': '0.2471', 'fractal_dimension_worst': '0.07463'}
{'id': '911157302', 'diagnosis': 'M', 'radius_mean': '21.1', 'texture_mean': '20.52', 'perimeter_mean': '138.1', 'area_mean': '1384', 'smoothness_mean': '0.09684', 'compactness_mean': '0.1175', 'concavity_mean': '0.1572', 'concave points_mean': '0.1155', 'symmetry_mean': '0.1554', 'fractal_dimension_mean': '0.05661', 'radius_se': '0.6643', 'texture_se': '1.361', 'perimeter_se': '4.542', 'area_se': '81.89', 'smoothness_se': '0.005467', 'compactness_se': '0.02075', 'concavity_se': '0.03185', 'concave points_se': '0.01466', 'symmetry_se': '0.01029', 'fractal_dimension_se': '0.002205', 'radius_worst': '25.68', 'texture_worst': '32.07', 'perimeter_worst': '168.2', 'area_worst': '2022', 'smoothness_worst': '0.1368', 'compactness_worst': '0.3101', 'concavity_worst': '0.4399', 'concave points_worst': '0.228', 'symmetry_worst': '0.2268', 'fractal_dimension_worst': '0.07425'}
{'id': '9111596', 'diagnosis': 'B', 'radius_mean': '11.87', 'texture_mean': '21.54', 'perimeter_mean': '76.83', 'area_mean': '432', 'smoothness_mean': '0.06613', 'compactness_mean': '0.1064', 'concavity_mean': '0.08777', 'concave points_mean': '0.02386', 'symmetry_mean': '0.1349', 'fractal_dimension_mean': '0.06612', 'radius_se': '0.256', 'texture_se': '1.554', 'perimeter_se': '1.955', 'area_se': '20.24', 'smoothness_se': '0.006854', 'compactness_se': '0.06063', 'concavity_se': '0.06663', 'concave points_se': '0.01553', 'symmetry_se': '0.02354', 'fractal_dimension_se': '0.008925', 'radius_worst': '12.79', 'texture_worst': '28.18', 'perimeter_worst': '83.51', 'area_worst': '507.2', 'smoothness_worst': '0.09457', 'compactness_worst': '0.3399', 'concavity_worst': '0.3218', 'concave points_worst': '0.0875', 'symmetry_worst': '0.2305', 'fractal_dimension_worst': '0.09952'}
{'id': '9111805', 'diagnosis': 'M', 'radius_mean': '19.59', 'texture_mean': '25', 'perimeter_mean': '127.7', 'area_mean': '1191', 'smoothness_mean': '0.1032', 'compactness_mean': '0.09871', 'concavity_mean': '0.1655', 'concave points_mean': '0.09063', 'symmetry_mean': '0.1663', 'fractal_dimension_mean': '0.05391', 'radius_se': '0.4674', 'texture_se': '1.375', 'perimeter_se': '2.916', 'area_se': '56.18', 'smoothness_se': '0.0119', 'compactness_se': '0.01929', 'concavity_se': '0.04907', 'concave points_se': '0.01499', 'symmetry_se': '0.01641', 'fractal_dimension_se': '0.001807', 'radius_worst': '21.44', 'texture_worst': '30.96', 'perimeter_worst': '139.8', 'area_worst': '1421', 'smoothness_worst': '0.1528', 'compactness_worst': '0.1845', 'concavity_worst': '0.3977', 'concave points_worst': '0.1466', 'symmetry_worst': '0.2293', 'fractal_dimension_worst': '0.06091'}
{'id': '9111843', 'diagnosis': 'B', 'radius_mean': '12', 'texture_mean': '28.23', 'perimeter_mean': '76.77', 'area_mean': '442.5', 'smoothness_mean': '0.08437', 'compactness_mean': '0.0645', 'concavity_mean': '0.04055', 'concave points_mean': '0.01945', 'symmetry_mean': '0.1615', 'fractal_dimension_mean': '0.06104', 'radius_se': '0.1912', 'texture_se': '1.705', 'perimeter_se': '1.516', 'area_se': '13.86', 'smoothness_se': '0.007334', 'compactness_se': '0.02589', 'concavity_se': '0.02941', 'concave points_se': '0.009166', 'symmetry_se': '0.01745', 'fractal_dimension_se': '0.004302', 'radius_worst': '13.09', 'texture_worst': '37.88', 'perimeter_worst': '85.07', 'area_worst': '523.7', 'smoothness_worst': '0.1208', 'compactness_worst': '0.1856', 'concavity_worst': '0.1811', 'concave points_worst': '0.07116', 'symmetry_worst': '0.2447', 'fractal_dimension_worst': '0.08194'}
{'id': '911201', 'diagnosis': 'B', 'radius_mean': '14.53', 'texture_mean': '13.98', 'perimeter_mean': '93.86', 'area_mean': '644.2', 'smoothness_mean': '0.1099', 'compactness_mean': '0.09242', 'concavity_mean': '0.06895', 'concave points_mean': '0.06495', 'symmetry_mean': '0.165', 'fractal_dimension_mean': '0.06121', 'radius_se': '0.306', 'texture_se': '0.7213', 'perimeter_se': '2.143', 'area_se': '25.7', 'smoothness_se': '0.006133', 'compactness_se': '0.01251', 'concavity_se': '0.01615', 'concave points_se': '0.01136', 'symmetry_se': '0.02207', 'fractal_dimension_se': '0.003563', 'radius_worst': '15.8', 'texture_worst': '16.93', 'perimeter_worst': '103.1', 'area_worst': '749.9', 'smoothness_worst': '0.1347', 'compactness_worst': '0.1478', 'concavity_worst': '0.1373', 'concave points_worst': '0.1069', 'symmetry_worst': '0.2606', 'fractal_dimension_worst': '0.0781'}
{'id': '911202', 'diagnosis': 'B', 'radius_mean': '12.62', 'texture_mean': '17.15', 'perimeter_mean': '80.62', 'area_mean': '492.9', 'smoothness_mean': '0.08583', 'compactness_mean': '0.0543', 'concavity_mean': '0.02966', 'concave points_mean': '0.02272', 'symmetry_mean': '0.1799', 'fractal_dimension_mean': '0.05826', 'radius_se': '0.1692', 'texture_se': '0.6674', 'perimeter_se': '1.116', 'area_se': '13.32', 'smoothness_se': '0.003888', 'compactness_se': '0.008539', 'concavity_se': '0.01256', 'concave points_se': '0.006888', 'symmetry_se': '0.01608', 'fractal_dimension_se': '0.001638', 'radius_worst': '14.34', 'texture_worst': '22.15', 'perimeter_worst': '91.62', 'area_worst': '633.5', 'smoothness_worst': '0.1225', 'compactness_worst': '0.1517', 'concavity_worst': '0.1887', 'concave points_worst': '0.09851', 'symmetry_worst': '0.327', 'fractal_dimension_worst': '0.0733'}
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{'id': '9112366', 'diagnosis': 'B', 'radius_mean': '11.63', 'texture_mean': '29.29', 'perimeter_mean': '74.87', 'area_mean': '415.1', 'smoothness_mean': '0.09357', 'compactness_mean': '0.08574', 'concavity_mean': '0.0716', 'concave points_mean': '0.02017', 'symmetry_mean': '0.1799', 'fractal_dimension_mean': '0.06166', 'radius_se': '0.3135', 'texture_se': '2.426', 'perimeter_se': '2.15', 'area_se': '23.13', 'smoothness_se': '0.009861', 'compactness_se': '0.02418', 'concavity_se': '0.04275', 'concave points_se': '0.009215', 'symmetry_se': '0.02475', 'fractal_dimension_se': '0.002128', 'radius_worst': '13.12', 'texture_worst': '38.81', 'perimeter_worst': '86.04', 'area_worst': '527.8', 'smoothness_worst': '0.1406', 'compactness_worst': '0.2031', 'concavity_worst': '0.2923', 'concave points_worst': '0.06835', 'symmetry_worst': '0.2884', 'fractal_dimension_worst': '0.0722'}
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{'id': '9112594', 'diagnosis': 'B', 'radius_mean': '13', 'texture_mean': '25.13', 'perimeter_mean': '82.61', 'area_mean': '520.2', 'smoothness_mean': '0.08369', 'compactness_mean': '0.05073', 'concavity_mean': '0.01206', 'concave points_mean': '0.01762', 'symmetry_mean': '0.1667', 'fractal_dimension_mean': '0.05449', 'radius_se': '0.2621', 'texture_se': '1.232', 'perimeter_se': '1.657', 'area_se': '21.19', 'smoothness_se': '0.006054', 'compactness_se': '0.008974', 'concavity_se': '0.005681', 'concave points_se': '0.006336', 'symmetry_se': '0.01215', 'fractal_dimension_se': '0.001514', 'radius_worst': '14.34', 'texture_worst': '31.88', 'perimeter_worst': '91.06', 'area_worst': '628.5', 'smoothness_worst': '0.1218', 'compactness_worst': '0.1093', 'concavity_worst': '0.04462', 'concave points_worst': '0.05921', 'symmetry_worst': '0.2306', 'fractal_dimension_worst': '0.06291'}
{'id': '9112712', 'diagnosis': 'B', 'radius_mean': '9.755', 'texture_mean': '28.2', 'perimeter_mean': '61.68', 'area_mean': '290.9', 'smoothness_mean': '0.07984', 'compactness_mean': '0.04626', 'concavity_mean': '0.01541', 'concave points_mean': '0.01043', 'symmetry_mean': '0.1621', 'fractal_dimension_mean': '0.05952', 'radius_se': '0.1781', 'texture_se': '1.687', 'perimeter_se': '1.243', 'area_se': '11.28', 'smoothness_se': '0.006588', 'compactness_se': '0.0127', 'concavity_se': '0.0145', 'concave points_se': '0.006104', 'symmetry_se': '0.01574', 'fractal_dimension_se': '0.002268', 'radius_worst': '10.67', 'texture_worst': '36.92', 'perimeter_worst': '68.03', 'area_worst': '349.9', 'smoothness_worst': '0.111', 'compactness_worst': '0.1109', 'concavity_worst': '0.0719', 'concave points_worst': '0.04866', 'symmetry_worst': '0.2321', 'fractal_dimension_worst': '0.07211'}
{'id': '911296201', 'diagnosis': 'M', 'radius_mean': '17.08', 'texture_mean': '27.15', 'perimeter_mean': '111.2', 'area_mean': '930.9', 'smoothness_mean': '0.09898', 'compactness_mean': '0.111', 'concavity_mean': '0.1007', 'concave points_mean': '0.06431', 'symmetry_mean': '0.1793', 'fractal_dimension_mean': '0.06281', 'radius_se': '0.9291', 'texture_se': '1.152', 'perimeter_se': '6.051', 'area_se': '115.2', 'smoothness_se': '0.00874', 'compactness_se': '0.02219', 'concavity_se': '0.02721', 'concave points_se': '0.01458', 'symmetry_se': '0.02045', 'fractal_dimension_se': '0.004417', 'radius_worst': '22.96', 'texture_worst': '34.49', 'perimeter_worst': '152.1', 'area_worst': '1648', 'smoothness_worst': '0.16', 'compactness_worst': '0.2444', 'concavity_worst': '0.2639', 'concave points_worst': '0.1555', 'symmetry_worst': '0.301', 'fractal_dimension_worst': '0.0906'}
{'id': '911296202', 'diagnosis': 'M', 'radius_mean': '27.42', 'texture_mean': '26.27', 'perimeter_mean': '186.9', 'area_mean': '2501', 'smoothness_mean': '0.1084', 'compactness_mean': '0.1988', 'concavity_mean': '0.3635', 'concave points_mean': '0.1689', 'symmetry_mean': '0.2061', 'fractal_dimension_mean': '0.05623', 'radius_se': '2.547', 'texture_se': '1.306', 'perimeter_se': '18.65', 'area_se': '542.2', 'smoothness_se': '0.00765', 'compactness_se': '0.05374', 'concavity_se': '0.08055', 'concave points_se': '0.02598', 'symmetry_se': '0.01697', 'fractal_dimension_se': '0.004558', 'radius_worst': '36.04', 'texture_worst': '31.37', 'perimeter_worst': '251.2', 'area_worst': '4254', 'smoothness_worst': '0.1357', 'compactness_worst': '0.4256', 'concavity_worst': '0.6833', 'concave points_worst': '0.2625', 'symmetry_worst': '0.2641', 'fractal_dimension_worst': '0.07427'}
{'id': '9113156', 'diagnosis': 'B', 'radius_mean': '14.4', 'texture_mean': '26.99', 'perimeter_mean': '92.25', 'area_mean': '646.1', 'smoothness_mean': '0.06995', 'compactness_mean': '0.05223', 'concavity_mean': '0.03476', 'concave points_mean': '0.01737', 'symmetry_mean': '0.1707', 'fractal_dimension_mean': '0.05433', 'radius_se': '0.2315', 'texture_se': '0.9112', 'perimeter_se': '1.727', 'area_se': '20.52', 'smoothness_se': '0.005356', 'compactness_se': '0.01679', 'concavity_se': '0.01971', 'concave points_se': '0.00637', 'symmetry_se': '0.01414', 'fractal_dimension_se': '0.001892', 'radius_worst': '15.4', 'texture_worst': '31.98', 'perimeter_worst': '100.4', 'area_worst': '734.6', 'smoothness_worst': '0.1017', 'compactness_worst': '0.146', 'concavity_worst': '0.1472', 'concave points_worst': '0.05563', 'symmetry_worst': '0.2345', 'fractal_dimension_worst': '0.06464'}
{'id': '911320501', 'diagnosis': 'B', 'radius_mean': '11.6', 'texture_mean': '18.36', 'perimeter_mean': '73.88', 'area_mean': '412.7', 'smoothness_mean': '0.08508', 'compactness_mean': '0.05855', 'concavity_mean': '0.03367', 'concave points_mean': '0.01777', 'symmetry_mean': '0.1516', 'fractal_dimension_mean': '0.05859', 'radius_se': '0.1816', 'texture_se': '0.7656', 'perimeter_se': '1.303', 'area_se': '12.89', 'smoothness_se': '0.006709', 'compactness_se': '0.01701', 'concavity_se': '0.0208', 'concave points_se': '0.007497', 'symmetry_se': '0.02124', 'fractal_dimension_se': '0.002768', 'radius_worst': '12.77', 'texture_worst': '24.02', 'perimeter_worst': '82.68', 'area_worst': '495.1', 'smoothness_worst': '0.1342', 'compactness_worst': '0.1808', 'concavity_worst': '0.186', 'concave points_worst': '0.08288', 'symmetry_worst': '0.321', 'fractal_dimension_worst': '0.07863'}
{'id': '911320502', 'diagnosis': 'B', 'radius_mean': '13.17', 'texture_mean': '18.22', 'perimeter_mean': '84.28', 'area_mean': '537.3', 'smoothness_mean': '0.07466', 'compactness_mean': '0.05994', 'concavity_mean': '0.04859', 'concave points_mean': '0.0287', 'symmetry_mean': '0.1454', 'fractal_dimension_mean': '0.05549', 'radius_se': '0.2023', 'texture_se': '0.685', 'perimeter_se': '1.236', 'area_se': '16.89', 'smoothness_se': '0.005969', 'compactness_se': '0.01493', 'concavity_se': '0.01564', 'concave points_se': '0.008463', 'symmetry_se': '0.01093', 'fractal_dimension_se': '0.001672', 'radius_worst': '14.9', 'texture_worst': '23.89', 'perimeter_worst': '95.1', 'area_worst': '687.6', 'smoothness_worst': '0.1282', 'compactness_worst': '0.1965', 'concavity_worst': '0.1876', 'concave points_worst': '0.1045', 'symmetry_worst': '0.2235', 'fractal_dimension_worst': '0.06925'}
{'id': '9113239', 'diagnosis': 'B', 'radius_mean': '13.24', 'texture_mean': '20.13', 'perimeter_mean': '86.87', 'area_mean': '542.9', 'smoothness_mean': '0.08284', 'compactness_mean': '0.1223', 'concavity_mean': '0.101', 'concave points_mean': '0.02833', 'symmetry_mean': '0.1601', 'fractal_dimension_mean': '0.06432', 'radius_se': '0.281', 'texture_se': '0.8135', 'perimeter_se': '3.369', 'area_se': '23.81', 'smoothness_se': '0.004929', 'compactness_se': '0.06657', 'concavity_se': '0.07683', 'concave points_se': '0.01368', 'symmetry_se': '0.01526', 'fractal_dimension_se': '0.008133', 'radius_worst': '15.44', 'texture_worst': '25.5', 'perimeter_worst': '115', 'area_worst': '733.5', 'smoothness_worst': '0.1201', 'compactness_worst': '0.5646', 'concavity_worst': '0.6556', 'concave points_worst': '0.1357', 'symmetry_worst': '0.2845', 'fractal_dimension_worst': '0.1249'}
{'id': '9113455', 'diagnosis': 'B', 'radius_mean': '13.14', 'texture_mean': '20.74', 'perimeter_mean': '85.98', 'area_mean': '536.9', 'smoothness_mean': '0.08675', 'compactness_mean': '0.1089', 'concavity_mean': '0.1085', 'concave points_mean': '0.0351', 'symmetry_mean': '0.1562', 'fractal_dimension_mean': '0.0602', 'radius_se': '0.3152', 'texture_se': '0.7884', 'perimeter_se': '2.312', 'area_se': '27.4', 'smoothness_se': '0.007295', 'compactness_se': '0.03179', 'concavity_se': '0.04615', 'concave points_se': '0.01254', 'symmetry_se': '0.01561', 'fractal_dimension_se': '0.00323', 'radius_worst': '14.8', 'texture_worst': '25.46', 'perimeter_worst': '100.9', 'area_worst': '689.1', 'smoothness_worst': '0.1351', 'compactness_worst': '0.3549', 'concavity_worst': '0.4504', 'concave points_worst': '0.1181', 'symmetry_worst': '0.2563', 'fractal_dimension_worst': '0.08174'}
{'id': '9113514', 'diagnosis': 'B', 'radius_mean': '9.668', 'texture_mean': '18.1', 'perimeter_mean': '61.06', 'area_mean': '286.3', 'smoothness_mean': '0.08311', 'compactness_mean': '0.05428', 'concavity_mean': '0.01479', 'concave points_mean': '0.005769', 'symmetry_mean': '0.168', 'fractal_dimension_mean': '0.06412', 'radius_se': '0.3416', 'texture_se': '1.312', 'perimeter_se': '2.275', 'area_se': '20.98', 'smoothness_se': '0.01098', 'compactness_se': '0.01257', 'concavity_se': '0.01031', 'concave points_se': '0.003934', 'symmetry_se': '0.02693', 'fractal_dimension_se': '0.002979', 'radius_worst': '11.15', 'texture_worst': '24.62', 'perimeter_worst': '71.11', 'area_worst': '380.2', 'smoothness_worst': '0.1388', 'compactness_worst': '0.1255', 'concavity_worst': '0.06409', 'concave points_worst': '0.025', 'symmetry_worst': '0.3057', 'fractal_dimension_worst': '0.07875'}
{'id': '9113538', 'diagnosis': 'M', 'radius_mean': '17.6', 'texture_mean': '23.33', 'perimeter_mean': '119', 'area_mean': '980.5', 'smoothness_mean': '0.09289', 'compactness_mean': '0.2004', 'concavity_mean': '0.2136', 'concave points_mean': '0.1002', 'symmetry_mean': '0.1696', 'fractal_dimension_mean': '0.07369', 'radius_se': '0.9289', 'texture_se': '1.465', 'perimeter_se': '5.801', 'area_se': '104.9', 'smoothness_se': '0.006766', 'compactness_se': '0.07025', 'concavity_se': '0.06591', 'concave points_se': '0.02311', 'symmetry_se': '0.01673', 'fractal_dimension_se': '0.0113', 'radius_worst': '21.57', 'texture_worst': '28.87', 'perimeter_worst': '143.6', 'area_worst': '1437', 'smoothness_worst': '0.1207', 'compactness_worst': '0.4785', 'concavity_worst': '0.5165', 'concave points_worst': '0.1996', 'symmetry_worst': '0.2301', 'fractal_dimension_worst': '0.1224'}
{'id': '911366', 'diagnosis': 'B', 'radius_mean': '11.62', 'texture_mean': '18.18', 'perimeter_mean': '76.38', 'area_mean': '408.8', 'smoothness_mean': '0.1175', 'compactness_mean': '0.1483', 'concavity_mean': '0.102', 'concave points_mean': '0.05564', 'symmetry_mean': '0.1957', 'fractal_dimension_mean': '0.07255', 'radius_se': '0.4101', 'texture_se': '1.74', 'perimeter_se': '3.027', 'area_se': '27.85', 'smoothness_se': '0.01459', 'compactness_se': '0.03206', 'concavity_se': '0.04961', 'concave points_se': '0.01841', 'symmetry_se': '0.01807', 'fractal_dimension_se': '0.005217', 'radius_worst': '13.36', 'texture_worst': '25.4', 'perimeter_worst': '88.14', 'area_worst': '528.1', 'smoothness_worst': '0.178', 'compactness_worst': '0.2878', 'concavity_worst': '0.3186', 'concave points_worst': '0.1416', 'symmetry_worst': '0.266', 'fractal_dimension_worst': '0.0927'}
{'id': '9113778', 'diagnosis': 'B', 'radius_mean': '9.667', 'texture_mean': '18.49', 'perimeter_mean': '61.49', 'area_mean': '289.1', 'smoothness_mean': '0.08946', 'compactness_mean': '0.06258', 'concavity_mean': '0.02948', 'concave points_mean': '0.01514', 'symmetry_mean': '0.2238', 'fractal_dimension_mean': '0.06413', 'radius_se': '0.3776', 'texture_se': '1.35', 'perimeter_se': '2.569', 'area_se': '22.73', 'smoothness_se': '0.007501', 'compactness_se': '0.01989', 'concavity_se': '0.02714', 'concave points_se': '0.009883', 'symmetry_se': '0.0196', 'fractal_dimension_se': '0.003913', 'radius_worst': '11.14', 'texture_worst': '25.62', 'perimeter_worst': '70.88', 'area_worst': '385.2', 'smoothness_worst': '0.1234', 'compactness_worst': '0.1542', 'concavity_worst': '0.1277', 'concave points_worst': '0.0656', 'symmetry_worst': '0.3174', 'fractal_dimension_worst': '0.08524'}
{'id': '9113816', 'diagnosis': 'B', 'radius_mean': '12.04', 'texture_mean': '28.14', 'perimeter_mean': '76.85', 'area_mean': '449.9', 'smoothness_mean': '0.08752', 'compactness_mean': '0.06', 'concavity_mean': '0.02367', 'concave points_mean': '0.02377', 'symmetry_mean': '0.1854', 'fractal_dimension_mean': '0.05698', 'radius_se': '0.6061', 'texture_se': '2.643', 'perimeter_se': '4.099', 'area_se': '44.96', 'smoothness_se': '0.007517', 'compactness_se': '0.01555', 'concavity_se': '0.01465', 'concave points_se': '0.01183', 'symmetry_se': '0.02047', 'fractal_dimension_se': '0.003883', 'radius_worst': '13.6', 'texture_worst': '33.33', 'perimeter_worst': '87.24', 'area_worst': '567.6', 'smoothness_worst': '0.1041', 'compactness_worst': '0.09726', 'concavity_worst': '0.05524', 'concave points_worst': '0.05547', 'symmetry_worst': '0.2404', 'fractal_dimension_worst': '0.06639'}
{'id': '911384', 'diagnosis': 'B', 'radius_mean': '14.92', 'texture_mean': '14.93', 'perimeter_mean': '96.45', 'area_mean': '686.9', 'smoothness_mean': '0.08098', 'compactness_mean': '0.08549', 'concavity_mean': '0.05539', 'concave points_mean': '0.03221', 'symmetry_mean': '0.1687', 'fractal_dimension_mean': '0.05669', 'radius_se': '0.2446', 'texture_se': '0.4334', 'perimeter_se': '1.826', 'area_se': '23.31', 'smoothness_se': '0.003271', 'compactness_se': '0.0177', 'concavity_se': '0.0231', 'concave points_se': '0.008399', 'symmetry_se': '0.01148', 'fractal_dimension_se': '0.002379', 'radius_worst': '17.18', 'texture_worst': '18.22', 'perimeter_worst': '112', 'area_worst': '906.6', 'smoothness_worst': '0.1065', 'compactness_worst': '0.2791', 'concavity_worst': '0.3151', 'concave points_worst': '0.1147', 'symmetry_worst': '0.2688', 'fractal_dimension_worst': '0.08273'}
{'id': '9113846', 'diagnosis': 'B', 'radius_mean': '12.27', 'texture_mean': '29.97', 'perimeter_mean': '77.42', 'area_mean': '465.4', 'smoothness_mean': '0.07699', 'compactness_mean': '0.03398', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1701', 'fractal_dimension_mean': '0.0596', 'radius_se': '0.4455', 'texture_se': '3.647', 'perimeter_se': '2.884', 'area_se': '35.13', 'smoothness_se': '0.007339', 'compactness_se': '0.008243', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.03141', 'fractal_dimension_se': '0.003136', 'radius_worst': '13.45', 'texture_worst': '38.05', 'perimeter_worst': '85.08', 'area_worst': '558.9', 'smoothness_worst': '0.09422', 'compactness_worst': '0.05213', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.2409', 'fractal_dimension_worst': '0.06743'}
{'id': '911391', 'diagnosis': 'B', 'radius_mean': '10.88', 'texture_mean': '15.62', 'perimeter_mean': '70.41', 'area_mean': '358.9', 'smoothness_mean': '0.1007', 'compactness_mean': '0.1069', 'concavity_mean': '0.05115', 'concave points_mean': '0.01571', 'symmetry_mean': '0.1861', 'fractal_dimension_mean': '0.06837', 'radius_se': '0.1482', 'texture_se': '0.538', 'perimeter_se': '1.301', 'area_se': '9.597', 'smoothness_se': '0.004474', 'compactness_se': '0.03093', 'concavity_se': '0.02757', 'concave points_se': '0.006691', 'symmetry_se': '0.01212', 'fractal_dimension_se': '0.004672', 'radius_worst': '11.94', 'texture_worst': '19.35', 'perimeter_worst': '80.78', 'area_worst': '433.1', 'smoothness_worst': '0.1332', 'compactness_worst': '0.3898', 'concavity_worst': '0.3365', 'concave points_worst': '0.07966', 'symmetry_worst': '0.2581', 'fractal_dimension_worst': '0.108'}
{'id': '911408', 'diagnosis': 'B', 'radius_mean': '12.83', 'texture_mean': '15.73', 'perimeter_mean': '82.89', 'area_mean': '506.9', 'smoothness_mean': '0.0904', 'compactness_mean': '0.08269', 'concavity_mean': '0.05835', 'concave points_mean': '0.03078', 'symmetry_mean': '0.1705', 'fractal_dimension_mean': '0.05913', 'radius_se': '0.1499', 'texture_se': '0.4875', 'perimeter_se': '1.195', 'area_se': '11.64', 'smoothness_se': '0.004873', 'compactness_se': '0.01796', 'concavity_se': '0.03318', 'concave points_se': '0.00836', 'symmetry_se': '0.01601', 'fractal_dimension_se': '0.002289', 'radius_worst': '14.09', 'texture_worst': '19.35', 'perimeter_worst': '93.22', 'area_worst': '605.8', 'smoothness_worst': '0.1326', 'compactness_worst': '0.261', 'concavity_worst': '0.3476', 'concave points_worst': '0.09783', 'symmetry_worst': '0.3006', 'fractal_dimension_worst': '0.07802'}
{'id': '911654', 'diagnosis': 'B', 'radius_mean': '14.2', 'texture_mean': '20.53', 'perimeter_mean': '92.41', 'area_mean': '618.4', 'smoothness_mean': '0.08931', 'compactness_mean': '0.1108', 'concavity_mean': '0.05063', 'concave points_mean': '0.03058', 'symmetry_mean': '0.1506', 'fractal_dimension_mean': '0.06009', 'radius_se': '0.3478', 'texture_se': '1.018', 'perimeter_se': '2.749', 'area_se': '31.01', 'smoothness_se': '0.004107', 'compactness_se': '0.03288', 'concavity_se': '0.02821', 'concave points_se': '0.0135', 'symmetry_se': '0.0161', 'fractal_dimension_se': '0.002744', 'radius_worst': '16.45', 'texture_worst': '27.26', 'perimeter_worst': '112.1', 'area_worst': '828.5', 'smoothness_worst': '0.1153', 'compactness_worst': '0.3429', 'concavity_worst': '0.2512', 'concave points_worst': '0.1339', 'symmetry_worst': '0.2534', 'fractal_dimension_worst': '0.07858'}
{'id': '911673', 'diagnosis': 'B', 'radius_mean': '13.9', 'texture_mean': '16.62', 'perimeter_mean': '88.97', 'area_mean': '599.4', 'smoothness_mean': '0.06828', 'compactness_mean': '0.05319', 'concavity_mean': '0.02224', 'concave points_mean': '0.01339', 'symmetry_mean': '0.1813', 'fractal_dimension_mean': '0.05536', 'radius_se': '0.1555', 'texture_se': '0.5762', 'perimeter_se': '1.392', 'area_se': '14.03', 'smoothness_se': '0.003308', 'compactness_se': '0.01315', 'concavity_se': '0.009904', 'concave points_se': '0.004832', 'symmetry_se': '0.01316', 'fractal_dimension_se': '0.002095', 'radius_worst': '15.14', 'texture_worst': '21.8', 'perimeter_worst': '101.2', 'area_worst': '718.9', 'smoothness_worst': '0.09384', 'compactness_worst': '0.2006', 'concavity_worst': '0.1384', 'concave points_worst': '0.06222', 'symmetry_worst': '0.2679', 'fractal_dimension_worst': '0.07698'}
{'id': '911685', 'diagnosis': 'B', 'radius_mean': '11.49', 'texture_mean': '14.59', 'perimeter_mean': '73.99', 'area_mean': '404.9', 'smoothness_mean': '0.1046', 'compactness_mean': '0.08228', 'concavity_mean': '0.05308', 'concave points_mean': '0.01969', 'symmetry_mean': '0.1779', 'fractal_dimension_mean': '0.06574', 'radius_se': '0.2034', 'texture_se': '1.166', 'perimeter_se': '1.567', 'area_se': '14.34', 'smoothness_se': '0.004957', 'compactness_se': '0.02114', 'concavity_se': '0.04156', 'concave points_se': '0.008038', 'symmetry_se': '0.01843', 'fractal_dimension_se': '0.003614', 'radius_worst': '12.4', 'texture_worst': '21.9', 'perimeter_worst': '82.04', 'area_worst': '467.6', 'smoothness_worst': '0.1352', 'compactness_worst': '0.201', 'concavity_worst': '0.2596', 'concave points_worst': '0.07431', 'symmetry_worst': '0.2941', 'fractal_dimension_worst': '0.0918'}
{'id': '911916', 'diagnosis': 'M', 'radius_mean': '16.25', 'texture_mean': '19.51', 'perimeter_mean': '109.8', 'area_mean': '815.8', 'smoothness_mean': '0.1026', 'compactness_mean': '0.1893', 'concavity_mean': '0.2236', 'concave points_mean': '0.09194', 'symmetry_mean': '0.2151', 'fractal_dimension_mean': '0.06578', 'radius_se': '0.3147', 'texture_se': '0.9857', 'perimeter_se': '3.07', 'area_se': '33.12', 'smoothness_se': '0.009197', 'compactness_se': '0.0547', 'concavity_se': '0.08079', 'concave points_se': '0.02215', 'symmetry_se': '0.02773', 'fractal_dimension_se': '0.006355', 'radius_worst': '17.39', 'texture_worst': '23.05', 'perimeter_worst': '122.1', 'area_worst': '939.7', 'smoothness_worst': '0.1377', 'compactness_worst': '0.4462', 'concavity_worst': '0.5897', 'concave points_worst': '0.1775', 'symmetry_worst': '0.3318', 'fractal_dimension_worst': '0.09136'}
{'id': '912193', 'diagnosis': 'B', 'radius_mean': '12.16', 'texture_mean': '18.03', 'perimeter_mean': '78.29', 'area_mean': '455.3', 'smoothness_mean': '0.09087', 'compactness_mean': '0.07838', 'concavity_mean': '0.02916', 'concave points_mean': '0.01527', 'symmetry_mean': '0.1464', 'fractal_dimension_mean': '0.06284', 'radius_se': '0.2194', 'texture_se': '1.19', 'perimeter_se': '1.678', 'area_se': '16.26', 'smoothness_se': '0.004911', 'compactness_se': '0.01666', 'concavity_se': '0.01397', 'concave points_se': '0.005161', 'symmetry_se': '0.01454', 'fractal_dimension_se': '0.001858', 'radius_worst': '13.34', 'texture_worst': '27.87', 'perimeter_worst': '88.83', 'area_worst': '547.4', 'smoothness_worst': '0.1208', 'compactness_worst': '0.2279', 'concavity_worst': '0.162', 'concave points_worst': '0.0569', 'symmetry_worst': '0.2406', 'fractal_dimension_worst': '0.07729'}
{'id': '91227', 'diagnosis': 'B', 'radius_mean': '13.9', 'texture_mean': '19.24', 'perimeter_mean': '88.73', 'area_mean': '602.9', 'smoothness_mean': '0.07991', 'compactness_mean': '0.05326', 'concavity_mean': '0.02995', 'concave points_mean': '0.0207', 'symmetry_mean': '0.1579', 'fractal_dimension_mean': '0.05594', 'radius_se': '0.3316', 'texture_se': '0.9264', 'perimeter_se': '2.056', 'area_se': '28.41', 'smoothness_se': '0.003704', 'compactness_se': '0.01082', 'concavity_se': '0.0153', 'concave points_se': '0.006275', 'symmetry_se': '0.01062', 'fractal_dimension_se': '0.002217', 'radius_worst': '16.41', 'texture_worst': '26.42', 'perimeter_worst': '104.4', 'area_worst': '830.5', 'smoothness_worst': '0.1064', 'compactness_worst': '0.1415', 'concavity_worst': '0.1673', 'concave points_worst': '0.0815', 'symmetry_worst': '0.2356', 'fractal_dimension_worst': '0.07603'}
{'id': '912519', 'diagnosis': 'B', 'radius_mean': '13.47', 'texture_mean': '14.06', 'perimeter_mean': '87.32', 'area_mean': '546.3', 'smoothness_mean': '0.1071', 'compactness_mean': '0.1155', 'concavity_mean': '0.05786', 'concave points_mean': '0.05266', 'symmetry_mean': '0.1779', 'fractal_dimension_mean': '0.06639', 'radius_se': '0.1588', 'texture_se': '0.5733', 'perimeter_se': '1.102', 'area_se': '12.84', 'smoothness_se': '0.00445', 'compactness_se': '0.01452', 'concavity_se': '0.01334', 'concave points_se': '0.008791', 'symmetry_se': '0.01698', 'fractal_dimension_se': '0.002787', 'radius_worst': '14.83', 'texture_worst': '18.32', 'perimeter_worst': '94.94', 'area_worst': '660.2', 'smoothness_worst': '0.1393', 'compactness_worst': '0.2499', 'concavity_worst': '0.1848', 'concave points_worst': '0.1335', 'symmetry_worst': '0.3227', 'fractal_dimension_worst': '0.09326'}
{'id': '912558', 'diagnosis': 'B', 'radius_mean': '13.7', 'texture_mean': '17.64', 'perimeter_mean': '87.76', 'area_mean': '571.1', 'smoothness_mean': '0.0995', 'compactness_mean': '0.07957', 'concavity_mean': '0.04548', 'concave points_mean': '0.0316', 'symmetry_mean': '0.1732', 'fractal_dimension_mean': '0.06088', 'radius_se': '0.2431', 'texture_se': '0.9462', 'perimeter_se': '1.564', 'area_se': '20.64', 'smoothness_se': '0.003245', 'compactness_se': '0.008186', 'concavity_se': '0.01698', 'concave points_se': '0.009233', 'symmetry_se': '0.01285', 'fractal_dimension_se': '0.001524', 'radius_worst': '14.96', 'texture_worst': '23.53', 'perimeter_worst': '95.78', 'area_worst': '686.5', 'smoothness_worst': '0.1199', 'compactness_worst': '0.1346', 'concavity_worst': '0.1742', 'concave points_worst': '0.09077', 'symmetry_worst': '0.2518', 'fractal_dimension_worst': '0.0696'}
{'id': '912600', 'diagnosis': 'B', 'radius_mean': '15.73', 'texture_mean': '11.28', 'perimeter_mean': '102.8', 'area_mean': '747.2', 'smoothness_mean': '0.1043', 'compactness_mean': '0.1299', 'concavity_mean': '0.1191', 'concave points_mean': '0.06211', 'symmetry_mean': '0.1784', 'fractal_dimension_mean': '0.06259', 'radius_se': '0.163', 'texture_se': '0.3871', 'perimeter_se': '1.143', 'area_se': '13.87', 'smoothness_se': '0.006034', 'compactness_se': '0.0182', 'concavity_se': '0.03336', 'concave points_se': '0.01067', 'symmetry_se': '0.01175', 'fractal_dimension_se': '0.002256', 'radius_worst': '17.01', 'texture_worst': '14.2', 'perimeter_worst': '112.5', 'area_worst': '854.3', 'smoothness_worst': '0.1541', 'compactness_worst': '0.2979', 'concavity_worst': '0.4004', 'concave points_worst': '0.1452', 'symmetry_worst': '0.2557', 'fractal_dimension_worst': '0.08181'}
{'id': '913063', 'diagnosis': 'B', 'radius_mean': '12.45', 'texture_mean': '16.41', 'perimeter_mean': '82.85', 'area_mean': '476.7', 'smoothness_mean': '0.09514', 'compactness_mean': '0.1511', 'concavity_mean': '0.1544', 'concave points_mean': '0.04846', 'symmetry_mean': '0.2082', 'fractal_dimension_mean': '0.07325', 'radius_se': '0.3921', 'texture_se': '1.207', 'perimeter_se': '5.004', 'area_se': '30.19', 'smoothness_se': '0.007234', 'compactness_se': '0.07471', 'concavity_se': '0.1114', 'concave points_se': '0.02721', 'symmetry_se': '0.03232', 'fractal_dimension_se': '0.009627', 'radius_worst': '13.78', 'texture_worst': '21.03', 'perimeter_worst': '97.82', 'area_worst': '580.6', 'smoothness_worst': '0.1175', 'compactness_worst': '0.4061', 'concavity_worst': '0.4896', 'concave points_worst': '0.1342', 'symmetry_worst': '0.3231', 'fractal_dimension_worst': '0.1034'}
{'id': '913102', 'diagnosis': 'B', 'radius_mean': '14.64', 'texture_mean': '16.85', 'perimeter_mean': '94.21', 'area_mean': '666', 'smoothness_mean': '0.08641', 'compactness_mean': '0.06698', 'concavity_mean': '0.05192', 'concave points_mean': '0.02791', 'symmetry_mean': '0.1409', 'fractal_dimension_mean': '0.05355', 'radius_se': '0.2204', 'texture_se': '1.006', 'perimeter_se': '1.471', 'area_se': '19.98', 'smoothness_se': '0.003535', 'compactness_se': '0.01393', 'concavity_se': '0.018', 'concave points_se': '0.006144', 'symmetry_se': '0.01254', 'fractal_dimension_se': '0.001219', 'radius_worst': '16.46', 'texture_worst': '25.44', 'perimeter_worst': '106', 'area_worst': '831', 'smoothness_worst': '0.1142', 'compactness_worst': '0.207', 'concavity_worst': '0.2437', 'concave points_worst': '0.07828', 'symmetry_worst': '0.2455', 'fractal_dimension_worst': '0.06596'}
{'id': '913505', 'diagnosis': 'M', 'radius_mean': '19.44', 'texture_mean': '18.82', 'perimeter_mean': '128.1', 'area_mean': '1167', 'smoothness_mean': '0.1089', 'compactness_mean': '0.1448', 'concavity_mean': '0.2256', 'concave points_mean': '0.1194', 'symmetry_mean': '0.1823', 'fractal_dimension_mean': '0.06115', 'radius_se': '0.5659', 'texture_se': '1.408', 'perimeter_se': '3.631', 'area_se': '67.74', 'smoothness_se': '0.005288', 'compactness_se': '0.02833', 'concavity_se': '0.04256', 'concave points_se': '0.01176', 'symmetry_se': '0.01717', 'fractal_dimension_se': '0.003211', 'radius_worst': '23.96', 'texture_worst': '30.39', 'perimeter_worst': '153.9', 'area_worst': '1740', 'smoothness_worst': '0.1514', 'compactness_worst': '0.3725', 'concavity_worst': '0.5936', 'concave points_worst': '0.206', 'symmetry_worst': '0.3266', 'fractal_dimension_worst': '0.09009'}
{'id': '913512', 'diagnosis': 'B', 'radius_mean': '11.68', 'texture_mean': '16.17', 'perimeter_mean': '75.49', 'area_mean': '420.5', 'smoothness_mean': '0.1128', 'compactness_mean': '0.09263', 'concavity_mean': '0.04279', 'concave points_mean': '0.03132', 'symmetry_mean': '0.1853', 'fractal_dimension_mean': '0.06401', 'radius_se': '0.3713', 'texture_se': '1.154', 'perimeter_se': '2.554', 'area_se': '27.57', 'smoothness_se': '0.008998', 'compactness_se': '0.01292', 'concavity_se': '0.01851', 'concave points_se': '0.01167', 'symmetry_se': '0.02152', 'fractal_dimension_se': '0.003213', 'radius_worst': '13.32', 'texture_worst': '21.59', 'perimeter_worst': '86.57', 'area_worst': '549.8', 'smoothness_worst': '0.1526', 'compactness_worst': '0.1477', 'concavity_worst': '0.149', 'concave points_worst': '0.09815', 'symmetry_worst': '0.2804', 'fractal_dimension_worst': '0.08024'}
{'id': '913535', 'diagnosis': 'M', 'radius_mean': '16.69', 'texture_mean': '20.2', 'perimeter_mean': '107.1', 'area_mean': '857.6', 'smoothness_mean': '0.07497', 'compactness_mean': '0.07112', 'concavity_mean': '0.03649', 'concave points_mean': '0.02307', 'symmetry_mean': '0.1846', 'fractal_dimension_mean': '0.05325', 'radius_se': '0.2473', 'texture_se': '0.5679', 'perimeter_se': '1.775', 'area_se': '22.95', 'smoothness_se': '0.002667', 'compactness_se': '0.01446', 'concavity_se': '0.01423', 'concave points_se': '0.005297', 'symmetry_se': '0.01961', 'fractal_dimension_se': '0.0017', 'radius_worst': '19.18', 'texture_worst': '26.56', 'perimeter_worst': '127.3', 'area_worst': '1084', 'smoothness_worst': '0.1009', 'compactness_worst': '0.292', 'concavity_worst': '0.2477', 'concave points_worst': '0.08737', 'symmetry_worst': '0.4677', 'fractal_dimension_worst': '0.07623'}
{'id': '91376701', 'diagnosis': 'B', 'radius_mean': '12.25', 'texture_mean': '22.44', 'perimeter_mean': '78.18', 'area_mean': '466.5', 'smoothness_mean': '0.08192', 'compactness_mean': '0.052', 'concavity_mean': '0.01714', 'concave points_mean': '0.01261', 'symmetry_mean': '0.1544', 'fractal_dimension_mean': '0.05976', 'radius_se': '0.2239', 'texture_se': '1.139', 'perimeter_se': '1.577', 'area_se': '18.04', 'smoothness_se': '0.005096', 'compactness_se': '0.01205', 'concavity_se': '0.00941', 'concave points_se': '0.004551', 'symmetry_se': '0.01608', 'fractal_dimension_se': '0.002399', 'radius_worst': '14.17', 'texture_worst': '31.99', 'perimeter_worst': '92.74', 'area_worst': '622.9', 'smoothness_worst': '0.1256', 'compactness_worst': '0.1804', 'concavity_worst': '0.123', 'concave points_worst': '0.06335', 'symmetry_worst': '0.31', 'fractal_dimension_worst': '0.08203'}
{'id': '91376702', 'diagnosis': 'B', 'radius_mean': '17.85', 'texture_mean': '13.23', 'perimeter_mean': '114.6', 'area_mean': '992.1', 'smoothness_mean': '0.07838', 'compactness_mean': '0.06217', 'concavity_mean': '0.04445', 'concave points_mean': '0.04178', 'symmetry_mean': '0.122', 'fractal_dimension_mean': '0.05243', 'radius_se': '0.4834', 'texture_se': '1.046', 'perimeter_se': '3.163', 'area_se': '50.95', 'smoothness_se': '0.004369', 'compactness_se': '0.008274', 'concavity_se': '0.01153', 'concave points_se': '0.007437', 'symmetry_se': '0.01302', 'fractal_dimension_se': '0.001309', 'radius_worst': '19.82', 'texture_worst': '18.42', 'perimeter_worst': '127.1', 'area_worst': '1210', 'smoothness_worst': '0.09862', 'compactness_worst': '0.09976', 'concavity_worst': '0.1048', 'concave points_worst': '0.08341', 'symmetry_worst': '0.1783', 'fractal_dimension_worst': '0.05871'}
{'id': '914062', 'diagnosis': 'M', 'radius_mean': '18.01', 'texture_mean': '20.56', 'perimeter_mean': '118.4', 'area_mean': '1007', 'smoothness_mean': '0.1001', 'compactness_mean': '0.1289', 'concavity_mean': '0.117', 'concave points_mean': '0.07762', 'symmetry_mean': '0.2116', 'fractal_dimension_mean': '0.06077', 'radius_se': '0.7548', 'texture_se': '1.288', 'perimeter_se': '5.353', 'area_se': '89.74', 'smoothness_se': '0.007997', 'compactness_se': '0.027', 'concavity_se': '0.03737', 'concave points_se': '0.01648', 'symmetry_se': '0.02897', 'fractal_dimension_se': '0.003996', 'radius_worst': '21.53', 'texture_worst': '26.06', 'perimeter_worst': '143.4', 'area_worst': '1426', 'smoothness_worst': '0.1309', 'compactness_worst': '0.2327', 'concavity_worst': '0.2544', 'concave points_worst': '0.1489', 'symmetry_worst': '0.3251', 'fractal_dimension_worst': '0.07625'}
{'id': '914101', 'diagnosis': 'B', 'radius_mean': '12.46', 'texture_mean': '12.83', 'perimeter_mean': '78.83', 'area_mean': '477.3', 'smoothness_mean': '0.07372', 'compactness_mean': '0.04043', 'concavity_mean': '0.007173', 'concave points_mean': '0.01149', 'symmetry_mean': '0.1613', 'fractal_dimension_mean': '0.06013', 'radius_se': '0.3276', 'texture_se': '1.486', 'perimeter_se': '2.108', 'area_se': '24.6', 'smoothness_se': '0.01039', 'compactness_se': '0.01003', 'concavity_se': '0.006416', 'concave points_se': '0.007895', 'symmetry_se': '0.02869', 'fractal_dimension_se': '0.004821', 'radius_worst': '13.19', 'texture_worst': '16.36', 'perimeter_worst': '83.24', 'area_worst': '534', 'smoothness_worst': '0.09439', 'compactness_worst': '0.06477', 'concavity_worst': '0.01674', 'concave points_worst': '0.0268', 'symmetry_worst': '0.228', 'fractal_dimension_worst': '0.07028'}
{'id': '914102', 'diagnosis': 'B', 'radius_mean': '13.16', 'texture_mean': '20.54', 'perimeter_mean': '84.06', 'area_mean': '538.7', 'smoothness_mean': '0.07335', 'compactness_mean': '0.05275', 'concavity_mean': '0.018', 'concave points_mean': '0.01256', 'symmetry_mean': '0.1713', 'fractal_dimension_mean': '0.05888', 'radius_se': '0.3237', 'texture_se': '1.473', 'perimeter_se': '2.326', 'area_se': '26.07', 'smoothness_se': '0.007802', 'compactness_se': '0.02052', 'concavity_se': '0.01341', 'concave points_se': '0.005564', 'symmetry_se': '0.02086', 'fractal_dimension_se': '0.002701', 'radius_worst': '14.5', 'texture_worst': '28.46', 'perimeter_worst': '95.29', 'area_worst': '648.3', 'smoothness_worst': '0.1118', 'compactness_worst': '0.1646', 'concavity_worst': '0.07698', 'concave points_worst': '0.04195', 'symmetry_worst': '0.2687', 'fractal_dimension_worst': '0.07429'}
{'id': '914333', 'diagnosis': 'B', 'radius_mean': '14.87', 'texture_mean': '20.21', 'perimeter_mean': '96.12', 'area_mean': '680.9', 'smoothness_mean': '0.09587', 'compactness_mean': '0.08345', 'concavity_mean': '0.06824', 'concave points_mean': '0.04951', 'symmetry_mean': '0.1487', 'fractal_dimension_mean': '0.05748', 'radius_se': '0.2323', 'texture_se': '1.636', 'perimeter_se': '1.596', 'area_se': '21.84', 'smoothness_se': '0.005415', 'compactness_se': '0.01371', 'concavity_se': '0.02153', 'concave points_se': '0.01183', 'symmetry_se': '0.01959', 'fractal_dimension_se': '0.001812', 'radius_worst': '16.01', 'texture_worst': '28.48', 'perimeter_worst': '103.9', 'area_worst': '783.6', 'smoothness_worst': '0.1216', 'compactness_worst': '0.1388', 'concavity_worst': '0.17', 'concave points_worst': '0.1017', 'symmetry_worst': '0.2369', 'fractal_dimension_worst': '0.06599'}
{'id': '914366', 'diagnosis': 'B', 'radius_mean': '12.65', 'texture_mean': '18.17', 'perimeter_mean': '82.69', 'area_mean': '485.6', 'smoothness_mean': '0.1076', 'compactness_mean': '0.1334', 'concavity_mean': '0.08017', 'concave points_mean': '0.05074', 'symmetry_mean': '0.1641', 'fractal_dimension_mean': '0.06854', 'radius_se': '0.2324', 'texture_se': '0.6332', 'perimeter_se': '1.696', 'area_se': '18.4', 'smoothness_se': '0.005704', 'compactness_se': '0.02502', 'concavity_se': '0.02636', 'concave points_se': '0.01032', 'symmetry_se': '0.01759', 'fractal_dimension_se': '0.003563', 'radius_worst': '14.38', 'texture_worst': '22.15', 'perimeter_worst': '95.29', 'area_worst': '633.7', 'smoothness_worst': '0.1533', 'compactness_worst': '0.3842', 'concavity_worst': '0.3582', 'concave points_worst': '0.1407', 'symmetry_worst': '0.323', 'fractal_dimension_worst': '0.1033'}
{'id': '914580', 'diagnosis': 'B', 'radius_mean': '12.47', 'texture_mean': '17.31', 'perimeter_mean': '80.45', 'area_mean': '480.1', 'smoothness_mean': '0.08928', 'compactness_mean': '0.0763', 'concavity_mean': '0.03609', 'concave points_mean': '0.02369', 'symmetry_mean': '0.1526', 'fractal_dimension_mean': '0.06046', 'radius_se': '0.1532', 'texture_se': '0.781', 'perimeter_se': '1.253', 'area_se': '11.91', 'smoothness_se': '0.003796', 'compactness_se': '0.01371', 'concavity_se': '0.01346', 'concave points_se': '0.007096', 'symmetry_se': '0.01536', 'fractal_dimension_se': '0.001541', 'radius_worst': '14.06', 'texture_worst': '24.34', 'perimeter_worst': '92.82', 'area_worst': '607.3', 'smoothness_worst': '0.1276', 'compactness_worst': '0.2506', 'concavity_worst': '0.2028', 'concave points_worst': '0.1053', 'symmetry_worst': '0.3035', 'fractal_dimension_worst': '0.07661'}
{'id': '914769', 'diagnosis': 'M', 'radius_mean': '18.49', 'texture_mean': '17.52', 'perimeter_mean': '121.3', 'area_mean': '1068', 'smoothness_mean': '0.1012', 'compactness_mean': '0.1317', 'concavity_mean': '0.1491', 'concave points_mean': '0.09183', 'symmetry_mean': '0.1832', 'fractal_dimension_mean': '0.06697', 'radius_se': '0.7923', 'texture_se': '1.045', 'perimeter_se': '4.851', 'area_se': '95.77', 'smoothness_se': '0.007974', 'compactness_se': '0.03214', 'concavity_se': '0.04435', 'concave points_se': '0.01573', 'symmetry_se': '0.01617', 'fractal_dimension_se': '0.005255', 'radius_worst': '22.75', 'texture_worst': '22.88', 'perimeter_worst': '146.4', 'area_worst': '1600', 'smoothness_worst': '0.1412', 'compactness_worst': '0.3089', 'concavity_worst': '0.3533', 'concave points_worst': '0.1663', 'symmetry_worst': '0.251', 'fractal_dimension_worst': '0.09445'}
{'id': '91485', 'diagnosis': 'M', 'radius_mean': '20.59', 'texture_mean': '21.24', 'perimeter_mean': '137.8', 'area_mean': '1320', 'smoothness_mean': '0.1085', 'compactness_mean': '0.1644', 'concavity_mean': '0.2188', 'concave points_mean': '0.1121', 'symmetry_mean': '0.1848', 'fractal_dimension_mean': '0.06222', 'radius_se': '0.5904', 'texture_se': '1.216', 'perimeter_se': '4.206', 'area_se': '75.09', 'smoothness_se': '0.006666', 'compactness_se': '0.02791', 'concavity_se': '0.04062', 'concave points_se': '0.01479', 'symmetry_se': '0.01117', 'fractal_dimension_se': '0.003727', 'radius_worst': '23.86', 'texture_worst': '30.76', 'perimeter_worst': '163.2', 'area_worst': '1760', 'smoothness_worst': '0.1464', 'compactness_worst': '0.3597', 'concavity_worst': '0.5179', 'concave points_worst': '0.2113', 'symmetry_worst': '0.248', 'fractal_dimension_worst': '0.08999'}
{'id': '914862', 'diagnosis': 'B', 'radius_mean': '15.04', 'texture_mean': '16.74', 'perimeter_mean': '98.73', 'area_mean': '689.4', 'smoothness_mean': '0.09883', 'compactness_mean': '0.1364', 'concavity_mean': '0.07721', 'concave points_mean': '0.06142', 'symmetry_mean': '0.1668', 'fractal_dimension_mean': '0.06869', 'radius_se': '0.372', 'texture_se': '0.8423', 'perimeter_se': '2.304', 'area_se': '34.84', 'smoothness_se': '0.004123', 'compactness_se': '0.01819', 'concavity_se': '0.01996', 'concave points_se': '0.01004', 'symmetry_se': '0.01055', 'fractal_dimension_se': '0.003237', 'radius_worst': '16.76', 'texture_worst': '20.43', 'perimeter_worst': '109.7', 'area_worst': '856.9', 'smoothness_worst': '0.1135', 'compactness_worst': '0.2176', 'concavity_worst': '0.1856', 'concave points_worst': '0.1018', 'symmetry_worst': '0.2177', 'fractal_dimension_worst': '0.08549'}
{'id': '91504', 'diagnosis': 'M', 'radius_mean': '13.82', 'texture_mean': '24.49', 'perimeter_mean': '92.33', 'area_mean': '595.9', 'smoothness_mean': '0.1162', 'compactness_mean': '0.1681', 'concavity_mean': '0.1357', 'concave points_mean': '0.06759', 'symmetry_mean': '0.2275', 'fractal_dimension_mean': '0.07237', 'radius_se': '0.4751', 'texture_se': '1.528', 'perimeter_se': '2.974', 'area_se': '39.05', 'smoothness_se': '0.00968', 'compactness_se': '0.03856', 'concavity_se': '0.03476', 'concave points_se': '0.01616', 'symmetry_se': '0.02434', 'fractal_dimension_se': '0.006995', 'radius_worst': '16.01', 'texture_worst': '32.94', 'perimeter_worst': '106', 'area_worst': '788', 'smoothness_worst': '0.1794', 'compactness_worst': '0.3966', 'concavity_worst': '0.3381', 'concave points_worst': '0.1521', 'symmetry_worst': '0.3651', 'fractal_dimension_worst': '0.1183'}
{'id': '91505', 'diagnosis': 'B', 'radius_mean': '12.54', 'texture_mean': '16.32', 'perimeter_mean': '81.25', 'area_mean': '476.3', 'smoothness_mean': '0.1158', 'compactness_mean': '0.1085', 'concavity_mean': '0.05928', 'concave points_mean': '0.03279', 'symmetry_mean': '0.1943', 'fractal_dimension_mean': '0.06612', 'radius_se': '0.2577', 'texture_se': '1.095', 'perimeter_se': '1.566', 'area_se': '18.49', 'smoothness_se': '0.009702', 'compactness_se': '0.01567', 'concavity_se': '0.02575', 'concave points_se': '0.01161', 'symmetry_se': '0.02801', 'fractal_dimension_se': '0.00248', 'radius_worst': '13.57', 'texture_worst': '21.4', 'perimeter_worst': '86.67', 'area_worst': '552', 'smoothness_worst': '0.158', 'compactness_worst': '0.1751', 'concavity_worst': '0.1889', 'concave points_worst': '0.08411', 'symmetry_worst': '0.3155', 'fractal_dimension_worst': '0.07538'}
{'id': '915143', 'diagnosis': 'M', 'radius_mean': '23.09', 'texture_mean': '19.83', 'perimeter_mean': '152.1', 'area_mean': '1682', 'smoothness_mean': '0.09342', 'compactness_mean': '0.1275', 'concavity_mean': '0.1676', 'concave points_mean': '0.1003', 'symmetry_mean': '0.1505', 'fractal_dimension_mean': '0.05484', 'radius_se': '1.291', 'texture_se': '0.7452', 'perimeter_se': '9.635', 'area_se': '180.2', 'smoothness_se': '0.005753', 'compactness_se': '0.03356', 'concavity_se': '0.03976', 'concave points_se': '0.02156', 'symmetry_se': '0.02201', 'fractal_dimension_se': '0.002897', 'radius_worst': '30.79', 'texture_worst': '23.87', 'perimeter_worst': '211.5', 'area_worst': '2782', 'smoothness_worst': '0.1199', 'compactness_worst': '0.3625', 'concavity_worst': '0.3794', 'concave points_worst': '0.2264', 'symmetry_worst': '0.2908', 'fractal_dimension_worst': '0.07277'}
{'id': '915186', 'diagnosis': 'B', 'radius_mean': '9.268', 'texture_mean': '12.87', 'perimeter_mean': '61.49', 'area_mean': '248.7', 'smoothness_mean': '0.1634', 'compactness_mean': '0.2239', 'concavity_mean': '0.0973', 'concave points_mean': '0.05252', 'symmetry_mean': '0.2378', 'fractal_dimension_mean': '0.09502', 'radius_se': '0.4076', 'texture_se': '1.093', 'perimeter_se': '3.014', 'area_se': '20.04', 'smoothness_se': '0.009783', 'compactness_se': '0.04542', 'concavity_se': '0.03483', 'concave points_se': '0.02188', 'symmetry_se': '0.02542', 'fractal_dimension_se': '0.01045', 'radius_worst': '10.28', 'texture_worst': '16.38', 'perimeter_worst': '69.05', 'area_worst': '300.2', 'smoothness_worst': '0.1902', 'compactness_worst': '0.3441', 'concavity_worst': '0.2099', 'concave points_worst': '0.1025', 'symmetry_worst': '0.3038', 'fractal_dimension_worst': '0.1252'}
{'id': '915276', 'diagnosis': 'B', 'radius_mean': '9.676', 'texture_mean': '13.14', 'perimeter_mean': '64.12', 'area_mean': '272.5', 'smoothness_mean': '0.1255', 'compactness_mean': '0.2204', 'concavity_mean': '0.1188', 'concave points_mean': '0.07038', 'symmetry_mean': '0.2057', 'fractal_dimension_mean': '0.09575', 'radius_se': '0.2744', 'texture_se': '1.39', 'perimeter_se': '1.787', 'area_se': '17.67', 'smoothness_se': '0.02177', 'compactness_se': '0.04888', 'concavity_se': '0.05189', 'concave points_se': '0.0145', 'symmetry_se': '0.02632', 'fractal_dimension_se': '0.01148', 'radius_worst': '10.6', 'texture_worst': '18.04', 'perimeter_worst': '69.47', 'area_worst': '328.1', 'smoothness_worst': '0.2006', 'compactness_worst': '0.3663', 'concavity_worst': '0.2913', 'concave points_worst': '0.1075', 'symmetry_worst': '0.2848', 'fractal_dimension_worst': '0.1364'}
{'id': '91544001', 'diagnosis': 'B', 'radius_mean': '12.22', 'texture_mean': '20.04', 'perimeter_mean': '79.47', 'area_mean': '453.1', 'smoothness_mean': '0.1096', 'compactness_mean': '0.1152', 'concavity_mean': '0.08175', 'concave points_mean': '0.02166', 'symmetry_mean': '0.2124', 'fractal_dimension_mean': '0.06894', 'radius_se': '0.1811', 'texture_se': '0.7959', 'perimeter_se': '0.9857', 'area_se': '12.58', 'smoothness_se': '0.006272', 'compactness_se': '0.02198', 'concavity_se': '0.03966', 'concave points_se': '0.009894', 'symmetry_se': '0.0132', 'fractal_dimension_se': '0.003813', 'radius_worst': '13.16', 'texture_worst': '24.17', 'perimeter_worst': '85.13', 'area_worst': '515.3', 'smoothness_worst': '0.1402', 'compactness_worst': '0.2315', 'concavity_worst': '0.3535', 'concave points_worst': '0.08088', 'symmetry_worst': '0.2709', 'fractal_dimension_worst': '0.08839'}
{'id': '91544002', 'diagnosis': 'B', 'radius_mean': '11.06', 'texture_mean': '17.12', 'perimeter_mean': '71.25', 'area_mean': '366.5', 'smoothness_mean': '0.1194', 'compactness_mean': '0.1071', 'concavity_mean': '0.04063', 'concave points_mean': '0.04268', 'symmetry_mean': '0.1954', 'fractal_dimension_mean': '0.07976', 'radius_se': '0.1779', 'texture_se': '1.03', 'perimeter_se': '1.318', 'area_se': '12.3', 'smoothness_se': '0.01262', 'compactness_se': '0.02348', 'concavity_se': '0.018', 'concave points_se': '0.01285', 'symmetry_se': '0.0222', 'fractal_dimension_se': '0.008313', 'radius_worst': '11.69', 'texture_worst': '20.74', 'perimeter_worst': '76.08', 'area_worst': '411.1', 'smoothness_worst': '0.1662', 'compactness_worst': '0.2031', 'concavity_worst': '0.1256', 'concave points_worst': '0.09514', 'symmetry_worst': '0.278', 'fractal_dimension_worst': '0.1168'}
{'id': '915452', 'diagnosis': 'B', 'radius_mean': '16.3', 'texture_mean': '15.7', 'perimeter_mean': '104.7', 'area_mean': '819.8', 'smoothness_mean': '0.09427', 'compactness_mean': '0.06712', 'concavity_mean': '0.05526', 'concave points_mean': '0.04563', 'symmetry_mean': '0.1711', 'fractal_dimension_mean': '0.05657', 'radius_se': '0.2067', 'texture_se': '0.4706', 'perimeter_se': '1.146', 'area_se': '20.67', 'smoothness_se': '0.007394', 'compactness_se': '0.01203', 'concavity_se': '0.0247', 'concave points_se': '0.01431', 'symmetry_se': '0.01344', 'fractal_dimension_se': '0.002569', 'radius_worst': '17.32', 'texture_worst': '17.76', 'perimeter_worst': '109.8', 'area_worst': '928.2', 'smoothness_worst': '0.1354', 'compactness_worst': '0.1361', 'concavity_worst': '0.1947', 'concave points_worst': '0.1357', 'symmetry_worst': '0.23', 'fractal_dimension_worst': '0.0723'}
{'id': '915460', 'diagnosis': 'M', 'radius_mean': '15.46', 'texture_mean': '23.95', 'perimeter_mean': '103.8', 'area_mean': '731.3', 'smoothness_mean': '0.1183', 'compactness_mean': '0.187', 'concavity_mean': '0.203', 'concave points_mean': '0.0852', 'symmetry_mean': '0.1807', 'fractal_dimension_mean': '0.07083', 'radius_se': '0.3331', 'texture_se': '1.961', 'perimeter_se': '2.937', 'area_se': '32.52', 'smoothness_se': '0.009538', 'compactness_se': '0.0494', 'concavity_se': '0.06019', 'concave points_se': '0.02041', 'symmetry_se': '0.02105', 'fractal_dimension_se': '0.006', 'radius_worst': '17.11', 'texture_worst': '36.33', 'perimeter_worst': '117.7', 'area_worst': '909.4', 'smoothness_worst': '0.1732', 'compactness_worst': '0.4967', 'concavity_worst': '0.5911', 'concave points_worst': '0.2163', 'symmetry_worst': '0.3013', 'fractal_dimension_worst': '0.1067'}
{'id': '91550', 'diagnosis': 'B', 'radius_mean': '11.74', 'texture_mean': '14.69', 'perimeter_mean': '76.31', 'area_mean': '426', 'smoothness_mean': '0.08099', 'compactness_mean': '0.09661', 'concavity_mean': '0.06726', 'concave points_mean': '0.02639', 'symmetry_mean': '0.1499', 'fractal_dimension_mean': '0.06758', 'radius_se': '0.1924', 'texture_se': '0.6417', 'perimeter_se': '1.345', 'area_se': '13.04', 'smoothness_se': '0.006982', 'compactness_se': '0.03916', 'concavity_se': '0.04017', 'concave points_se': '0.01528', 'symmetry_se': '0.0226', 'fractal_dimension_se': '0.006822', 'radius_worst': '12.45', 'texture_worst': '17.6', 'perimeter_worst': '81.25', 'area_worst': '473.8', 'smoothness_worst': '0.1073', 'compactness_worst': '0.2793', 'concavity_worst': '0.269', 'concave points_worst': '0.1056', 'symmetry_worst': '0.2604', 'fractal_dimension_worst': '0.09879'}
{'id': '915664', 'diagnosis': 'B', 'radius_mean': '14.81', 'texture_mean': '14.7', 'perimeter_mean': '94.66', 'area_mean': '680.7', 'smoothness_mean': '0.08472', 'compactness_mean': '0.05016', 'concavity_mean': '0.03416', 'concave points_mean': '0.02541', 'symmetry_mean': '0.1659', 'fractal_dimension_mean': '0.05348', 'radius_se': '0.2182', 'texture_se': '0.6232', 'perimeter_se': '1.677', 'area_se': '20.72', 'smoothness_se': '0.006708', 'compactness_se': '0.01197', 'concavity_se': '0.01482', 'concave points_se': '0.01056', 'symmetry_se': '0.0158', 'fractal_dimension_se': '0.001779', 'radius_worst': '15.61', 'texture_worst': '17.58', 'perimeter_worst': '101.7', 'area_worst': '760.2', 'smoothness_worst': '0.1139', 'compactness_worst': '0.1011', 'concavity_worst': '0.1101', 'concave points_worst': '0.07955', 'symmetry_worst': '0.2334', 'fractal_dimension_worst': '0.06142'}
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{'id': '915940', 'diagnosis': 'B', 'radius_mean': '14.58', 'texture_mean': '13.66', 'perimeter_mean': '94.29', 'area_mean': '658.8', 'smoothness_mean': '0.09832', 'compactness_mean': '0.08918', 'concavity_mean': '0.08222', 'concave points_mean': '0.04349', 'symmetry_mean': '0.1739', 'fractal_dimension_mean': '0.0564', 'radius_se': '0.4165', 'texture_se': '0.6237', 'perimeter_se': '2.561', 'area_se': '37.11', 'smoothness_se': '0.004953', 'compactness_se': '0.01812', 'concavity_se': '0.03035', 'concave points_se': '0.008648', 'symmetry_se': '0.01539', 'fractal_dimension_se': '0.002281', 'radius_worst': '16.76', 'texture_worst': '17.24', 'perimeter_worst': '108.5', 'area_worst': '862', 'smoothness_worst': '0.1223', 'compactness_worst': '0.1928', 'concavity_worst': '0.2492', 'concave points_worst': '0.09186', 'symmetry_worst': '0.2626', 'fractal_dimension_worst': '0.07048'}
{'id': '91594602', 'diagnosis': 'M', 'radius_mean': '15.05', 'texture_mean': '19.07', 'perimeter_mean': '97.26', 'area_mean': '701.9', 'smoothness_mean': '0.09215', 'compactness_mean': '0.08597', 'concavity_mean': '0.07486', 'concave points_mean': '0.04335', 'symmetry_mean': '0.1561', 'fractal_dimension_mean': '0.05915', 'radius_se': '0.386', 'texture_se': '1.198', 'perimeter_se': '2.63', 'area_se': '38.49', 'smoothness_se': '0.004952', 'compactness_se': '0.0163', 'concavity_se': '0.02967', 'concave points_se': '0.009423', 'symmetry_se': '0.01152', 'fractal_dimension_se': '0.001718', 'radius_worst': '17.58', 'texture_worst': '28.06', 'perimeter_worst': '113.8', 'area_worst': '967', 'smoothness_worst': '0.1246', 'compactness_worst': '0.2101', 'concavity_worst': '0.2866', 'concave points_worst': '0.112', 'symmetry_worst': '0.2282', 'fractal_dimension_worst': '0.06954'}
{'id': '916221', 'diagnosis': 'B', 'radius_mean': '11.34', 'texture_mean': '18.61', 'perimeter_mean': '72.76', 'area_mean': '391.2', 'smoothness_mean': '0.1049', 'compactness_mean': '0.08499', 'concavity_mean': '0.04302', 'concave points_mean': '0.02594', 'symmetry_mean': '0.1927', 'fractal_dimension_mean': '0.06211', 'radius_se': '0.243', 'texture_se': '1.01', 'perimeter_se': '1.491', 'area_se': '18.19', 'smoothness_se': '0.008577', 'compactness_se': '0.01641', 'concavity_se': '0.02099', 'concave points_se': '0.01107', 'symmetry_se': '0.02434', 'fractal_dimension_se': '0.001217', 'radius_worst': '12.47', 'texture_worst': '23.03', 'perimeter_worst': '79.15', 'area_worst': '478.6', 'smoothness_worst': '0.1483', 'compactness_worst': '0.1574', 'concavity_worst': '0.1624', 'concave points_worst': '0.08542', 'symmetry_worst': '0.306', 'fractal_dimension_worst': '0.06783'}
{'id': '916799', 'diagnosis': 'M', 'radius_mean': '18.31', 'texture_mean': '20.58', 'perimeter_mean': '120.8', 'area_mean': '1052', 'smoothness_mean': '0.1068', 'compactness_mean': '0.1248', 'concavity_mean': '0.1569', 'concave points_mean': '0.09451', 'symmetry_mean': '0.186', 'fractal_dimension_mean': '0.05941', 'radius_se': '0.5449', 'texture_se': '0.9225', 'perimeter_se': '3.218', 'area_se': '67.36', 'smoothness_se': '0.006176', 'compactness_se': '0.01877', 'concavity_se': '0.02913', 'concave points_se': '0.01046', 'symmetry_se': '0.01559', 'fractal_dimension_se': '0.002725', 'radius_worst': '21.86', 'texture_worst': '26.2', 'perimeter_worst': '142.2', 'area_worst': '1493', 'smoothness_worst': '0.1492', 'compactness_worst': '0.2536', 'concavity_worst': '0.3759', 'concave points_worst': '0.151', 'symmetry_worst': '0.3074', 'fractal_dimension_worst': '0.07863'}
{'id': '916838', 'diagnosis': 'M', 'radius_mean': '19.89', 'texture_mean': '20.26', 'perimeter_mean': '130.5', 'area_mean': '1214', 'smoothness_mean': '0.1037', 'compactness_mean': '0.131', 'concavity_mean': '0.1411', 'concave points_mean': '0.09431', 'symmetry_mean': '0.1802', 'fractal_dimension_mean': '0.06188', 'radius_se': '0.5079', 'texture_se': '0.8737', 'perimeter_se': '3.654', 'area_se': '59.7', 'smoothness_se': '0.005089', 'compactness_se': '0.02303', 'concavity_se': '0.03052', 'concave points_se': '0.01178', 'symmetry_se': '0.01057', 'fractal_dimension_se': '0.003391', 'radius_worst': '23.73', 'texture_worst': '25.23', 'perimeter_worst': '160.5', 'area_worst': '1646', 'smoothness_worst': '0.1417', 'compactness_worst': '0.3309', 'concavity_worst': '0.4185', 'concave points_worst': '0.1613', 'symmetry_worst': '0.2549', 'fractal_dimension_worst': '0.09136'}
{'id': '917062', 'diagnosis': 'B', 'radius_mean': '12.88', 'texture_mean': '18.22', 'perimeter_mean': '84.45', 'area_mean': '493.1', 'smoothness_mean': '0.1218', 'compactness_mean': '0.1661', 'concavity_mean': '0.04825', 'concave points_mean': '0.05303', 'symmetry_mean': '0.1709', 'fractal_dimension_mean': '0.07253', 'radius_se': '0.4426', 'texture_se': '1.169', 'perimeter_se': '3.176', 'area_se': '34.37', 'smoothness_se': '0.005273', 'compactness_se': '0.02329', 'concavity_se': '0.01405', 'concave points_se': '0.01244', 'symmetry_se': '0.01816', 'fractal_dimension_se': '0.003299', 'radius_worst': '15.05', 'texture_worst': '24.37', 'perimeter_worst': '99.31', 'area_worst': '674.7', 'smoothness_worst': '0.1456', 'compactness_worst': '0.2961', 'concavity_worst': '0.1246', 'concave points_worst': '0.1096', 'symmetry_worst': '0.2582', 'fractal_dimension_worst': '0.08893'}
{'id': '917080', 'diagnosis': 'B', 'radius_mean': '12.75', 'texture_mean': '16.7', 'perimeter_mean': '82.51', 'area_mean': '493.8', 'smoothness_mean': '0.1125', 'compactness_mean': '0.1117', 'concavity_mean': '0.0388', 'concave points_mean': '0.02995', 'symmetry_mean': '0.212', 'fractal_dimension_mean': '0.06623', 'radius_se': '0.3834', 'texture_se': '1.003', 'perimeter_se': '2.495', 'area_se': '28.62', 'smoothness_se': '0.007509', 'compactness_se': '0.01561', 'concavity_se': '0.01977', 'concave points_se': '0.009199', 'symmetry_se': '0.01805', 'fractal_dimension_se': '0.003629', 'radius_worst': '14.45', 'texture_worst': '21.74', 'perimeter_worst': '93.63', 'area_worst': '624.1', 'smoothness_worst': '0.1475', 'compactness_worst': '0.1979', 'concavity_worst': '0.1423', 'concave points_worst': '0.08045', 'symmetry_worst': '0.3071', 'fractal_dimension_worst': '0.08557'}
{'id': '917092', 'diagnosis': 'B', 'radius_mean': '9.295', 'texture_mean': '13.9', 'perimeter_mean': '59.96', 'area_mean': '257.8', 'smoothness_mean': '0.1371', 'compactness_mean': '0.1225', 'concavity_mean': '0.03332', 'concave points_mean': '0.02421', 'symmetry_mean': '0.2197', 'fractal_dimension_mean': '0.07696', 'radius_se': '0.3538', 'texture_se': '1.13', 'perimeter_se': '2.388', 'area_se': '19.63', 'smoothness_se': '0.01546', 'compactness_se': '0.0254', 'concavity_se': '0.02197', 'concave points_se': '0.0158', 'symmetry_se': '0.03997', 'fractal_dimension_se': '0.003901', 'radius_worst': '10.57', 'texture_worst': '17.84', 'perimeter_worst': '67.84', 'area_worst': '326.6', 'smoothness_worst': '0.185', 'compactness_worst': '0.2097', 'concavity_worst': '0.09996', 'concave points_worst': '0.07262', 'symmetry_worst': '0.3681', 'fractal_dimension_worst': '0.08982'}
{'id': '91762702', 'diagnosis': 'M', 'radius_mean': '24.63', 'texture_mean': '21.6', 'perimeter_mean': '165.5', 'area_mean': '1841', 'smoothness_mean': '0.103', 'compactness_mean': '0.2106', 'concavity_mean': '0.231', 'concave points_mean': '0.1471', 'symmetry_mean': '0.1991', 'fractal_dimension_mean': '0.06739', 'radius_se': '0.9915', 'texture_se': '0.9004', 'perimeter_se': '7.05', 'area_se': '139.9', 'smoothness_se': '0.004989', 'compactness_se': '0.03212', 'concavity_se': '0.03571', 'concave points_se': '0.01597', 'symmetry_se': '0.01879', 'fractal_dimension_se': '0.00476', 'radius_worst': '29.92', 'texture_worst': '26.93', 'perimeter_worst': '205.7', 'area_worst': '2642', 'smoothness_worst': '0.1342', 'compactness_worst': '0.4188', 'concavity_worst': '0.4658', 'concave points_worst': '0.2475', 'symmetry_worst': '0.3157', 'fractal_dimension_worst': '0.09671'}
{'id': '91789', 'diagnosis': 'B', 'radius_mean': '11.26', 'texture_mean': '19.83', 'perimeter_mean': '71.3', 'area_mean': '388.1', 'smoothness_mean': '0.08511', 'compactness_mean': '0.04413', 'concavity_mean': '0.005067', 'concave points_mean': '0.005664', 'symmetry_mean': '0.1637', 'fractal_dimension_mean': '0.06343', 'radius_se': '0.1344', 'texture_se': '1.083', 'perimeter_se': '0.9812', 'area_se': '9.332', 'smoothness_se': '0.0042', 'compactness_se': '0.0059', 'concavity_se': '0.003846', 'concave points_se': '0.004065', 'symmetry_se': '0.01487', 'fractal_dimension_se': '0.002295', 'radius_worst': '11.93', 'texture_worst': '26.43', 'perimeter_worst': '76.38', 'area_worst': '435.9', 'smoothness_worst': '0.1108', 'compactness_worst': '0.07723', 'concavity_worst': '0.02533', 'concave points_worst': '0.02832', 'symmetry_worst': '0.2557', 'fractal_dimension_worst': '0.07613'}
{'id': '917896', 'diagnosis': 'B', 'radius_mean': '13.71', 'texture_mean': '18.68', 'perimeter_mean': '88.73', 'area_mean': '571', 'smoothness_mean': '0.09916', 'compactness_mean': '0.107', 'concavity_mean': '0.05385', 'concave points_mean': '0.03783', 'symmetry_mean': '0.1714', 'fractal_dimension_mean': '0.06843', 'radius_se': '0.3191', 'texture_se': '1.249', 'perimeter_se': '2.284', 'area_se': '26.45', 'smoothness_se': '0.006739', 'compactness_se': '0.02251', 'concavity_se': '0.02086', 'concave points_se': '0.01352', 'symmetry_se': '0.0187', 'fractal_dimension_se': '0.003747', 'radius_worst': '15.11', 'texture_worst': '25.63', 'perimeter_worst': '99.43', 'area_worst': '701.9', 'smoothness_worst': '0.1425', 'compactness_worst': '0.2566', 'concavity_worst': '0.1935', 'concave points_worst': '0.1284', 'symmetry_worst': '0.2849', 'fractal_dimension_worst': '0.09031'}
{'id': '917897', 'diagnosis': 'B', 'radius_mean': '9.847', 'texture_mean': '15.68', 'perimeter_mean': '63', 'area_mean': '293.2', 'smoothness_mean': '0.09492', 'compactness_mean': '0.08419', 'concavity_mean': '0.0233', 'concave points_mean': '0.02416', 'symmetry_mean': '0.1387', 'fractal_dimension_mean': '0.06891', 'radius_se': '0.2498', 'texture_se': '1.216', 'perimeter_se': '1.976', 'area_se': '15.24', 'smoothness_se': '0.008732', 'compactness_se': '0.02042', 'concavity_se': '0.01062', 'concave points_se': '0.006801', 'symmetry_se': '0.01824', 'fractal_dimension_se': '0.003494', 'radius_worst': '11.24', 'texture_worst': '22.99', 'perimeter_worst': '74.32', 'area_worst': '376.5', 'smoothness_worst': '0.1419', 'compactness_worst': '0.2243', 'concavity_worst': '0.08434', 'concave points_worst': '0.06528', 'symmetry_worst': '0.2502', 'fractal_dimension_worst': '0.09209'}
{'id': '91805', 'diagnosis': 'B', 'radius_mean': '8.571', 'texture_mean': '13.1', 'perimeter_mean': '54.53', 'area_mean': '221.3', 'smoothness_mean': '0.1036', 'compactness_mean': '0.07632', 'concavity_mean': '0.02565', 'concave points_mean': '0.0151', 'symmetry_mean': '0.1678', 'fractal_dimension_mean': '0.07126', 'radius_se': '0.1267', 'texture_se': '0.6793', 'perimeter_se': '1.069', 'area_se': '7.254', 'smoothness_se': '0.007897', 'compactness_se': '0.01762', 'concavity_se': '0.01801', 'concave points_se': '0.00732', 'symmetry_se': '0.01592', 'fractal_dimension_se': '0.003925', 'radius_worst': '9.473', 'texture_worst': '18.45', 'perimeter_worst': '63.3', 'area_worst': '275.6', 'smoothness_worst': '0.1641', 'compactness_worst': '0.2235', 'concavity_worst': '0.1754', 'concave points_worst': '0.08512', 'symmetry_worst': '0.2983', 'fractal_dimension_worst': '0.1049'}
{'id': '91813701', 'diagnosis': 'B', 'radius_mean': '13.46', 'texture_mean': '18.75', 'perimeter_mean': '87.44', 'area_mean': '551.1', 'smoothness_mean': '0.1075', 'compactness_mean': '0.1138', 'concavity_mean': '0.04201', 'concave points_mean': '0.03152', 'symmetry_mean': '0.1723', 'fractal_dimension_mean': '0.06317', 'radius_se': '0.1998', 'texture_se': '0.6068', 'perimeter_se': '1.443', 'area_se': '16.07', 'smoothness_se': '0.004413', 'compactness_se': '0.01443', 'concavity_se': '0.01509', 'concave points_se': '0.007369', 'symmetry_se': '0.01354', 'fractal_dimension_se': '0.001787', 'radius_worst': '15.35', 'texture_worst': '25.16', 'perimeter_worst': '101.9', 'area_worst': '719.8', 'smoothness_worst': '0.1624', 'compactness_worst': '0.3124', 'concavity_worst': '0.2654', 'concave points_worst': '0.1427', 'symmetry_worst': '0.3518', 'fractal_dimension_worst': '0.08665'}
{'id': '91813702', 'diagnosis': 'B', 'radius_mean': '12.34', 'texture_mean': '12.27', 'perimeter_mean': '78.94', 'area_mean': '468.5', 'smoothness_mean': '0.09003', 'compactness_mean': '0.06307', 'concavity_mean': '0.02958', 'concave points_mean': '0.02647', 'symmetry_mean': '0.1689', 'fractal_dimension_mean': '0.05808', 'radius_se': '0.1166', 'texture_se': '0.4957', 'perimeter_se': '0.7714', 'area_se': '8.955', 'smoothness_se': '0.003681', 'compactness_se': '0.009169', 'concavity_se': '0.008732', 'concave points_se': '0.00574', 'symmetry_se': '0.01129', 'fractal_dimension_se': '0.001366', 'radius_worst': '13.61', 'texture_worst': '19.27', 'perimeter_worst': '87.22', 'area_worst': '564.9', 'smoothness_worst': '0.1292', 'compactness_worst': '0.2074', 'concavity_worst': '0.1791', 'concave points_worst': '0.107', 'symmetry_worst': '0.311', 'fractal_dimension_worst': '0.07592'}
{'id': '918192', 'diagnosis': 'B', 'radius_mean': '13.94', 'texture_mean': '13.17', 'perimeter_mean': '90.31', 'area_mean': '594.2', 'smoothness_mean': '0.1248', 'compactness_mean': '0.09755', 'concavity_mean': '0.101', 'concave points_mean': '0.06615', 'symmetry_mean': '0.1976', 'fractal_dimension_mean': '0.06457', 'radius_se': '0.5461', 'texture_se': '2.635', 'perimeter_se': '4.091', 'area_se': '44.74', 'smoothness_se': '0.01004', 'compactness_se': '0.03247', 'concavity_se': '0.04763', 'concave points_se': '0.02853', 'symmetry_se': '0.01715', 'fractal_dimension_se': '0.005528', 'radius_worst': '14.62', 'texture_worst': '15.38', 'perimeter_worst': '94.52', 'area_worst': '653.3', 'smoothness_worst': '0.1394', 'compactness_worst': '0.1364', 'concavity_worst': '0.1559', 'concave points_worst': '0.1015', 'symmetry_worst': '0.216', 'fractal_dimension_worst': '0.07253'}
{'id': '918465', 'diagnosis': 'B', 'radius_mean': '12.07', 'texture_mean': '13.44', 'perimeter_mean': '77.83', 'area_mean': '445.2', 'smoothness_mean': '0.11', 'compactness_mean': '0.09009', 'concavity_mean': '0.03781', 'concave points_mean': '0.02798', 'symmetry_mean': '0.1657', 'fractal_dimension_mean': '0.06608', 'radius_se': '0.2513', 'texture_se': '0.504', 'perimeter_se': '1.714', 'area_se': '18.54', 'smoothness_se': '0.007327', 'compactness_se': '0.01153', 'concavity_se': '0.01798', 'concave points_se': '0.007986', 'symmetry_se': '0.01962', 'fractal_dimension_se': '0.002234', 'radius_worst': '13.45', 'texture_worst': '15.77', 'perimeter_worst': '86.92', 'area_worst': '549.9', 'smoothness_worst': '0.1521', 'compactness_worst': '0.1632', 'concavity_worst': '0.1622', 'concave points_worst': '0.07393', 'symmetry_worst': '0.2781', 'fractal_dimension_worst': '0.08052'}
{'id': '91858', 'diagnosis': 'B', 'radius_mean': '11.75', 'texture_mean': '17.56', 'perimeter_mean': '75.89', 'area_mean': '422.9', 'smoothness_mean': '0.1073', 'compactness_mean': '0.09713', 'concavity_mean': '0.05282', 'concave points_mean': '0.0444', 'symmetry_mean': '0.1598', 'fractal_dimension_mean': '0.06677', 'radius_se': '0.4384', 'texture_se': '1.907', 'perimeter_se': '3.149', 'area_se': '30.66', 'smoothness_se': '0.006587', 'compactness_se': '0.01815', 'concavity_se': '0.01737', 'concave points_se': '0.01316', 'symmetry_se': '0.01835', 'fractal_dimension_se': '0.002318', 'radius_worst': '13.5', 'texture_worst': '27.98', 'perimeter_worst': '88.52', 'area_worst': '552.3', 'smoothness_worst': '0.1349', 'compactness_worst': '0.1854', 'concavity_worst': '0.1366', 'concave points_worst': '0.101', 'symmetry_worst': '0.2478', 'fractal_dimension_worst': '0.07757'}
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{'id': '923748', 'diagnosis': 'B', 'radius_mean': '10.86', 'texture_mean': '21.48', 'perimeter_mean': '68.51', 'area_mean': '360.5', 'smoothness_mean': '0.07431', 'compactness_mean': '0.04227', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1661', 'fractal_dimension_mean': '0.05948', 'radius_se': '0.3163', 'texture_se': '1.304', 'perimeter_se': '2.115', 'area_se': '20.67', 'smoothness_se': '0.009579', 'compactness_se': '0.01104', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.03004', 'fractal_dimension_se': '0.002228', 'radius_worst': '11.66', 'texture_worst': '24.77', 'perimeter_worst': '74.08', 'area_worst': '412.3', 'smoothness_worst': '0.1001', 'compactness_worst': '0.07348', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.2458', 'fractal_dimension_worst': '0.06592'}
{'id': '923780', 'diagnosis': 'B', 'radius_mean': '11.13', 'texture_mean': '22.44', 'perimeter_mean': '71.49', 'area_mean': '378.4', 'smoothness_mean': '0.09566', 'compactness_mean': '0.08194', 'concavity_mean': '0.04824', 'concave points_mean': '0.02257', 'symmetry_mean': '0.203', 'fractal_dimension_mean': '0.06552', 'radius_se': '0.28', 'texture_se': '1.467', 'perimeter_se': '1.994', 'area_se': '17.85', 'smoothness_se': '0.003495', 'compactness_se': '0.03051', 'concavity_se': '0.03445', 'concave points_se': '0.01024', 'symmetry_se': '0.02912', 'fractal_dimension_se': '0.004723', 'radius_worst': '12.02', 'texture_worst': '28.26', 'perimeter_worst': '77.8', 'area_worst': '436.6', 'smoothness_worst': '0.1087', 'compactness_worst': '0.1782', 'concavity_worst': '0.1564', 'concave points_worst': '0.06413', 'symmetry_worst': '0.3169', 'fractal_dimension_worst': '0.08032'}
{'id': '924084', 'diagnosis': 'B', 'radius_mean': '12.77', 'texture_mean': '29.43', 'perimeter_mean': '81.35', 'area_mean': '507.9', 'smoothness_mean': '0.08276', 'compactness_mean': '0.04234', 'concavity_mean': '0.01997', 'concave points_mean': '0.01499', 'symmetry_mean': '0.1539', 'fractal_dimension_mean': '0.05637', 'radius_se': '0.2409', 'texture_se': '1.367', 'perimeter_se': '1.477', 'area_se': '18.76', 'smoothness_se': '0.008835', 'compactness_se': '0.01233', 'concavity_se': '0.01328', 'concave points_se': '0.009305', 'symmetry_se': '0.01897', 'fractal_dimension_se': '0.001726', 'radius_worst': '13.87', 'texture_worst': '36', 'perimeter_worst': '88.1', 'area_worst': '594.7', 'smoothness_worst': '0.1234', 'compactness_worst': '0.1064', 'concavity_worst': '0.08653', 'concave points_worst': '0.06498', 'symmetry_worst': '0.2407', 'fractal_dimension_worst': '0.06484'}
{'id': '924342', 'diagnosis': 'B', 'radius_mean': '9.333', 'texture_mean': '21.94', 'perimeter_mean': '59.01', 'area_mean': '264', 'smoothness_mean': '0.0924', 'compactness_mean': '0.05605', 'concavity_mean': '0.03996', 'concave points_mean': '0.01282', 'symmetry_mean': '0.1692', 'fractal_dimension_mean': '0.06576', 'radius_se': '0.3013', 'texture_se': '1.879', 'perimeter_se': '2.121', 'area_se': '17.86', 'smoothness_se': '0.01094', 'compactness_se': '0.01834', 'concavity_se': '0.03996', 'concave points_se': '0.01282', 'symmetry_se': '0.03759', 'fractal_dimension_se': '0.004623', 'radius_worst': '9.845', 'texture_worst': '25.05', 'perimeter_worst': '62.86', 'area_worst': '295.8', 'smoothness_worst': '0.1103', 'compactness_worst': '0.08298', 'concavity_worst': '0.07993', 'concave points_worst': '0.02564', 'symmetry_worst': '0.2435', 'fractal_dimension_worst': '0.07393'}
{'id': '924632', 'diagnosis': 'B', 'radius_mean': '12.88', 'texture_mean': '28.92', 'perimeter_mean': '82.5', 'area_mean': '514.3', 'smoothness_mean': '0.08123', 'compactness_mean': '0.05824', 'concavity_mean': '0.06195', 'concave points_mean': '0.02343', 'symmetry_mean': '0.1566', 'fractal_dimension_mean': '0.05708', 'radius_se': '0.2116', 'texture_se': '1.36', 'perimeter_se': '1.502', 'area_se': '16.83', 'smoothness_se': '0.008412', 'compactness_se': '0.02153', 'concavity_se': '0.03898', 'concave points_se': '0.00762', 'symmetry_se': '0.01695', 'fractal_dimension_se': '0.002801', 'radius_worst': '13.89', 'texture_worst': '35.74', 'perimeter_worst': '88.84', 'area_worst': '595.7', 'smoothness_worst': '0.1227', 'compactness_worst': '0.162', 'concavity_worst': '0.2439', 'concave points_worst': '0.06493', 'symmetry_worst': '0.2372', 'fractal_dimension_worst': '0.07242'}
{'id': '924934', 'diagnosis': 'B', 'radius_mean': '10.29', 'texture_mean': '27.61', 'perimeter_mean': '65.67', 'area_mean': '321.4', 'smoothness_mean': '0.0903', 'compactness_mean': '0.07658', 'concavity_mean': '0.05999', 'concave points_mean': '0.02738', 'symmetry_mean': '0.1593', 'fractal_dimension_mean': '0.06127', 'radius_se': '0.2199', 'texture_se': '2.239', 'perimeter_se': '1.437', 'area_se': '14.46', 'smoothness_se': '0.01205', 'compactness_se': '0.02736', 'concavity_se': '0.04804', 'concave points_se': '0.01721', 'symmetry_se': '0.01843', 'fractal_dimension_se': '0.004938', 'radius_worst': '10.84', 'texture_worst': '34.91', 'perimeter_worst': '69.57', 'area_worst': '357.6', 'smoothness_worst': '0.1384', 'compactness_worst': '0.171', 'concavity_worst': '0.2', 'concave points_worst': '0.09127', 'symmetry_worst': '0.2226', 'fractal_dimension_worst': '0.08283'}
{'id': '924964', 'diagnosis': 'B', 'radius_mean': '10.16', 'texture_mean': '19.59', 'perimeter_mean': '64.73', 'area_mean': '311.7', 'smoothness_mean': '0.1003', 'compactness_mean': '0.07504', 'concavity_mean': '0.005025', 'concave points_mean': '0.01116', 'symmetry_mean': '0.1791', 'fractal_dimension_mean': '0.06331', 'radius_se': '0.2441', 'texture_se': '2.09', 'perimeter_se': '1.648', 'area_se': '16.8', 'smoothness_se': '0.01291', 'compactness_se': '0.02222', 'concavity_se': '0.004174', 'concave points_se': '0.007082', 'symmetry_se': '0.02572', 'fractal_dimension_se': '0.002278', 'radius_worst': '10.65', 'texture_worst': '22.88', 'perimeter_worst': '67.88', 'area_worst': '347.3', 'smoothness_worst': '0.1265', 'compactness_worst': '0.12', 'concavity_worst': '0.01005', 'concave points_worst': '0.02232', 'symmetry_worst': '0.2262', 'fractal_dimension_worst': '0.06742'}
{'id': '925236', 'diagnosis': 'B', 'radius_mean': '9.423', 'texture_mean': '27.88', 'perimeter_mean': '59.26', 'area_mean': '271.3', 'smoothness_mean': '0.08123', 'compactness_mean': '0.04971', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1742', 'fractal_dimension_mean': '0.06059', 'radius_se': '0.5375', 'texture_se': '2.927', 'perimeter_se': '3.618', 'area_se': '29.11', 'smoothness_se': '0.01159', 'compactness_se': '0.01124', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.03004', 'fractal_dimension_se': '0.003324', 'radius_worst': '10.49', 'texture_worst': '34.24', 'perimeter_worst': '66.5', 'area_worst': '330.6', 'smoothness_worst': '0.1073', 'compactness_worst': '0.07158', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.2475', 'fractal_dimension_worst': '0.06969'}
{'id': '925277', 'diagnosis': 'B', 'radius_mean': '14.59', 'texture_mean': '22.68', 'perimeter_mean': '96.39', 'area_mean': '657.1', 'smoothness_mean': '0.08473', 'compactness_mean': '0.133', 'concavity_mean': '0.1029', 'concave points_mean': '0.03736', 'symmetry_mean': '0.1454', 'fractal_dimension_mean': '0.06147', 'radius_se': '0.2254', 'texture_se': '1.108', 'perimeter_se': '2.224', 'area_se': '19.54', 'smoothness_se': '0.004242', 'compactness_se': '0.04639', 'concavity_se': '0.06578', 'concave points_se': '0.01606', 'symmetry_se': '0.01638', 'fractal_dimension_se': '0.004406', 'radius_worst': '15.48', 'texture_worst': '27.27', 'perimeter_worst': '105.9', 'area_worst': '733.5', 'smoothness_worst': '0.1026', 'compactness_worst': '0.3171', 'concavity_worst': '0.3662', 'concave points_worst': '0.1105', 'symmetry_worst': '0.2258', 'fractal_dimension_worst': '0.08004'}
{'id': '925291', 'diagnosis': 'B', 'radius_mean': '11.51', 'texture_mean': '23.93', 'perimeter_mean': '74.52', 'area_mean': '403.5', 'smoothness_mean': '0.09261', 'compactness_mean': '0.1021', 'concavity_mean': '0.1112', 'concave points_mean': '0.04105', 'symmetry_mean': '0.1388', 'fractal_dimension_mean': '0.0657', 'radius_se': '0.2388', 'texture_se': '2.904', 'perimeter_se': '1.936', 'area_se': '16.97', 'smoothness_se': '0.0082', 'compactness_se': '0.02982', 'concavity_se': '0.05738', 'concave points_se': '0.01267', 'symmetry_se': '0.01488', 'fractal_dimension_se': '0.004738', 'radius_worst': '12.48', 'texture_worst': '37.16', 'perimeter_worst': '82.28', 'area_worst': '474.2', 'smoothness_worst': '0.1298', 'compactness_worst': '0.2517', 'concavity_worst': '0.363', 'concave points_worst': '0.09653', 'symmetry_worst': '0.2112', 'fractal_dimension_worst': '0.08732'}
{'id': '925292', 'diagnosis': 'B', 'radius_mean': '14.05', 'texture_mean': '27.15', 'perimeter_mean': '91.38', 'area_mean': '600.4', 'smoothness_mean': '0.09929', 'compactness_mean': '0.1126', 'concavity_mean': '0.04462', 'concave points_mean': '0.04304', 'symmetry_mean': '0.1537', 'fractal_dimension_mean': '0.06171', 'radius_se': '0.3645', 'texture_se': '1.492', 'perimeter_se': '2.888', 'area_se': '29.84', 'smoothness_se': '0.007256', 'compactness_se': '0.02678', 'concavity_se': '0.02071', 'concave points_se': '0.01626', 'symmetry_se': '0.0208', 'fractal_dimension_se': '0.005304', 'radius_worst': '15.3', 'texture_worst': '33.17', 'perimeter_worst': '100.2', 'area_worst': '706.7', 'smoothness_worst': '0.1241', 'compactness_worst': '0.2264', 'concavity_worst': '0.1326', 'concave points_worst': '0.1048', 'symmetry_worst': '0.225', 'fractal_dimension_worst': '0.08321'}
{'id': '925311', 'diagnosis': 'B', 'radius_mean': '11.2', 'texture_mean': '29.37', 'perimeter_mean': '70.67', 'area_mean': '386', 'smoothness_mean': '0.07449', 'compactness_mean': '0.03558', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.106', 'fractal_dimension_mean': '0.05502', 'radius_se': '0.3141', 'texture_se': '3.896', 'perimeter_se': '2.041', 'area_se': '22.81', 'smoothness_se': '0.007594', 'compactness_se': '0.008878', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.01989', 'fractal_dimension_se': '0.001773', 'radius_worst': '11.92', 'texture_worst': '38.3', 'perimeter_worst': '75.19', 'area_worst': '439.6', 'smoothness_worst': '0.09267', 'compactness_worst': '0.05494', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.1566', 'fractal_dimension_worst': '0.05905'}
{'id': '925622', 'diagnosis': 'M', 'radius_mean': '15.22', 'texture_mean': '30.62', 'perimeter_mean': '103.4', 'area_mean': '716.9', 'smoothness_mean': '0.1048', 'compactness_mean': '0.2087', 'concavity_mean': '0.255', 'concave points_mean': '0.09429', 'symmetry_mean': '0.2128', 'fractal_dimension_mean': '0.07152', 'radius_se': '0.2602', 'texture_se': '1.205', 'perimeter_se': '2.362', 'area_se': '22.65', 'smoothness_se': '0.004625', 'compactness_se': '0.04844', 'concavity_se': '0.07359', 'concave points_se': '0.01608', 'symmetry_se': '0.02137', 'fractal_dimension_se': '0.006142', 'radius_worst': '17.52', 'texture_worst': '42.79', 'perimeter_worst': '128.7', 'area_worst': '915', 'smoothness_worst': '0.1417', 'compactness_worst': '0.7917', 'concavity_worst': '1.17', 'concave points_worst': '0.2356', 'symmetry_worst': '0.4089', 'fractal_dimension_worst': '0.1409'}
{'id': '926125', 'diagnosis': 'M', 'radius_mean': '20.92', 'texture_mean': '25.09', 'perimeter_mean': '143', 'area_mean': '1347', 'smoothness_mean': '0.1099', 'compactness_mean': '0.2236', 'concavity_mean': '0.3174', 'concave points_mean': '0.1474', 'symmetry_mean': '0.2149', 'fractal_dimension_mean': '0.06879', 'radius_se': '0.9622', 'texture_se': '1.026', 'perimeter_se': '8.758', 'area_se': '118.8', 'smoothness_se': '0.006399', 'compactness_se': '0.0431', 'concavity_se': '0.07845', 'concave points_se': '0.02624', 'symmetry_se': '0.02057', 'fractal_dimension_se': '0.006213', 'radius_worst': '24.29', 'texture_worst': '29.41', 'perimeter_worst': '179.1', 'area_worst': '1819', 'smoothness_worst': '0.1407', 'compactness_worst': '0.4186', 'concavity_worst': '0.6599', 'concave points_worst': '0.2542', 'symmetry_worst': '0.2929', 'fractal_dimension_worst': '0.09873'}
{'id': '926424', 'diagnosis': 'M', 'radius_mean': '21.56', 'texture_mean': '22.39', 'perimeter_mean': '142', 'area_mean': '1479', 'smoothness_mean': '0.111', 'compactness_mean': '0.1159', 'concavity_mean': '0.2439', 'concave points_mean': '0.1389', 'symmetry_mean': '0.1726', 'fractal_dimension_mean': '0.05623', 'radius_se': '1.176', 'texture_se': '1.256', 'perimeter_se': '7.673', 'area_se': '158.7', 'smoothness_se': '0.0103', 'compactness_se': '0.02891', 'concavity_se': '0.05198', 'concave points_se': '0.02454', 'symmetry_se': '0.01114', 'fractal_dimension_se': '0.004239', 'radius_worst': '25.45', 'texture_worst': '26.4', 'perimeter_worst': '166.1', 'area_worst': '2027', 'smoothness_worst': '0.141', 'compactness_worst': '0.2113', 'concavity_worst': '0.4107', 'concave points_worst': '0.2216', 'symmetry_worst': '0.206', 'fractal_dimension_worst': '0.07115'}
{'id': '926682', 'diagnosis': 'M', 'radius_mean': '20.13', 'texture_mean': '28.25', 'perimeter_mean': '131.2', 'area_mean': '1261', 'smoothness_mean': '0.0978', 'compactness_mean': '0.1034', 'concavity_mean': '0.144', 'concave points_mean': '0.09791', 'symmetry_mean': '0.1752', 'fractal_dimension_mean': '0.05533', 'radius_se': '0.7655', 'texture_se': '2.463', 'perimeter_se': '5.203', 'area_se': '99.04', 'smoothness_se': '0.005769', 'compactness_se': '0.02423', 'concavity_se': '0.0395', 'concave points_se': '0.01678', 'symmetry_se': '0.01898', 'fractal_dimension_se': '0.002498', 'radius_worst': '23.69', 'texture_worst': '38.25', 'perimeter_worst': '155', 'area_worst': '1731', 'smoothness_worst': '0.1166', 'compactness_worst': '0.1922', 'concavity_worst': '0.3215', 'concave points_worst': '0.1628', 'symmetry_worst': '0.2572', 'fractal_dimension_worst': '0.06637'}
{'id': '926954', 'diagnosis': 'M', 'radius_mean': '16.6', 'texture_mean': '28.08', 'perimeter_mean': '108.3', 'area_mean': '858.1', 'smoothness_mean': '0.08455', 'compactness_mean': '0.1023', 'concavity_mean': '0.09251', 'concave points_mean': '0.05302', 'symmetry_mean': '0.159', 'fractal_dimension_mean': '0.05648', 'radius_se': '0.4564', 'texture_se': '1.075', 'perimeter_se': '3.425', 'area_se': '48.55', 'smoothness_se': '0.005903', 'compactness_se': '0.03731', 'concavity_se': '0.0473', 'concave points_se': '0.01557', 'symmetry_se': '0.01318', 'fractal_dimension_se': '0.003892', 'radius_worst': '18.98', 'texture_worst': '34.12', 'perimeter_worst': '126.7', 'area_worst': '1124', 'smoothness_worst': '0.1139', 'compactness_worst': '0.3094', 'concavity_worst': '0.3403', 'concave points_worst': '0.1418', 'symmetry_worst': '0.2218', 'fractal_dimension_worst': '0.0782'}
{'id': '927241', 'diagnosis': 'M', 'radius_mean': '20.6', 'texture_mean': '29.33', 'perimeter_mean': '140.1', 'area_mean': '1265', 'smoothness_mean': '0.1178', 'compactness_mean': '0.277', 'concavity_mean': '0.3514', 'concave points_mean': '0.152', 'symmetry_mean': '0.2397', 'fractal_dimension_mean': '0.07016', 'radius_se': '0.726', 'texture_se': '1.595', 'perimeter_se': '5.772', 'area_se': '86.22', 'smoothness_se': '0.006522', 'compactness_se': '0.06158', 'concavity_se': '0.07117', 'concave points_se': '0.01664', 'symmetry_se': '0.02324', 'fractal_dimension_se': '0.006185', 'radius_worst': '25.74', 'texture_worst': '39.42', 'perimeter_worst': '184.6', 'area_worst': '1821', 'smoothness_worst': '0.165', 'compactness_worst': '0.8681', 'concavity_worst': '0.9387', 'concave points_worst': '0.265', 'symmetry_worst': '0.4087', 'fractal_dimension_worst': '0.124'}
{'id': '92751', 'diagnosis': 'B', 'radius_mean': '7.76', 'texture_mean': '24.54', 'perimeter_mean': '47.92', 'area_mean': '181', 'smoothness_mean': '0.05263', 'compactness_mean': '0.04362', 'concavity_mean': '0', 'concave points_mean': '0', 'symmetry_mean': '0.1587', 'fractal_dimension_mean': '0.05884', 'radius_se': '0.3857', 'texture_se': '1.428', 'perimeter_se': '2.548', 'area_se': '19.15', 'smoothness_se': '0.007189', 'compactness_se': '0.00466', 'concavity_se': '0', 'concave points_se': '0', 'symmetry_se': '0.02676', 'fractal_dimension_se': '0.002783', 'radius_worst': '9.456', 'texture_worst': '30.37', 'perimeter_worst': '59.16', 'area_worst': '268.6', 'smoothness_worst': '0.08996', 'compactness_worst': '0.06444', 'concavity_worst': '0', 'concave points_worst': '0', 'symmetry_worst': '0.2871', 'fractal_dimension_worst': '0.07039'}
list(db.nosql.find())
[{'_id': ObjectId('6385b3888d21f58603c544c5'),
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'symmetry_mean': '0.2419',
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'texture_se': '0.9053',
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'symmetry_se': '0.03003',
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'texture_worst': '17.33',
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'area_worst': '2019',
'smoothness_worst': '0.1622',
'compactness_worst': '0.6656',
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'symmetry_worst': '0.4601',
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{'_id': ObjectId('6385b3888d21f58603c544c6'),
'id': '842517',
'diagnosis': 'M',
'radius_mean': '20.57',
'texture_mean': '17.77',
'perimeter_mean': '132.9',
'area_mean': '1326',
'smoothness_mean': '0.08474',
'compactness_mean': '0.07864',
'concavity_mean': '0.0869',
'concave points_mean': '0.07017',
'symmetry_mean': '0.1812',
'fractal_dimension_mean': '0.05667',
'radius_se': '0.5435',
'texture_se': '0.7339',
'perimeter_se': '3.398',
'area_se': '74.08',
'smoothness_se': '0.005225',
'compactness_se': '0.01308',
'concavity_se': '0.0186',
'concave points_se': '0.0134',
'symmetry_se': '0.01389',
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'texture_worst': '23.41',
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'smoothness_worst': '0.1238',
'compactness_worst': '0.1866',
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'symmetry_worst': '0.275',
'fractal_dimension_worst': '0.08902'},
{'_id': ObjectId('6385b3888d21f58603c544c7'),
'id': '84300903',
'diagnosis': 'M',
'radius_mean': '19.69',
'texture_mean': '21.25',
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'fractal_dimension_mean': '0.06059',
'radius_se': '0.5375',
'texture_se': '2.927',
'perimeter_se': '3.618',
'area_se': '29.11',
'smoothness_se': '0.01159',
'compactness_se': '0.01124',
'concavity_se': '0',
'concave points_se': '0',
'symmetry_se': '0.03004',
'fractal_dimension_se': '0.003324',
'radius_worst': '10.49',
'texture_worst': '34.24',
'perimeter_worst': '66.5',
'area_worst': '330.6',
'smoothness_worst': '0.1073',
'compactness_worst': '0.07158',
'concavity_worst': '0',
'concave points_worst': '0',
'symmetry_worst': '0.2475',
'fractal_dimension_worst': '0.06969'},
{'_id': ObjectId('6385b3888d21f58603c546f3'),
'id': '925277',
'diagnosis': 'B',
'radius_mean': '14.59',
'texture_mean': '22.68',
'perimeter_mean': '96.39',
'area_mean': '657.1',
'smoothness_mean': '0.08473',
'compactness_mean': '0.133',
'concavity_mean': '0.1029',
'concave points_mean': '0.03736',
'symmetry_mean': '0.1454',
'fractal_dimension_mean': '0.06147',
'radius_se': '0.2254',
'texture_se': '1.108',
'perimeter_se': '2.224',
'area_se': '19.54',
'smoothness_se': '0.004242',
'compactness_se': '0.04639',
'concavity_se': '0.06578',
'concave points_se': '0.01606',
'symmetry_se': '0.01638',
'fractal_dimension_se': '0.004406',
'radius_worst': '15.48',
'texture_worst': '27.27',
'perimeter_worst': '105.9',
'area_worst': '733.5',
'smoothness_worst': '0.1026',
'compactness_worst': '0.3171',
'concavity_worst': '0.3662',
'concave points_worst': '0.1105',
'symmetry_worst': '0.2258',
'fractal_dimension_worst': '0.08004'},
{'_id': ObjectId('6385b3888d21f58603c546f4'),
'id': '925291',
'diagnosis': 'B',
'radius_mean': '11.51',
'texture_mean': '23.93',
'perimeter_mean': '74.52',
'area_mean': '403.5',
'smoothness_mean': '0.09261',
'compactness_mean': '0.1021',
'concavity_mean': '0.1112',
'concave points_mean': '0.04105',
'symmetry_mean': '0.1388',
'fractal_dimension_mean': '0.0657',
'radius_se': '0.2388',
'texture_se': '2.904',
'perimeter_se': '1.936',
'area_se': '16.97',
'smoothness_se': '0.0082',
'compactness_se': '0.02982',
'concavity_se': '0.05738',
'concave points_se': '0.01267',
'symmetry_se': '0.01488',
'fractal_dimension_se': '0.004738',
'radius_worst': '12.48',
'texture_worst': '37.16',
'perimeter_worst': '82.28',
'area_worst': '474.2',
'smoothness_worst': '0.1298',
'compactness_worst': '0.2517',
'concavity_worst': '0.363',
'concave points_worst': '0.09653',
'symmetry_worst': '0.2112',
'fractal_dimension_worst': '0.08732'},
{'_id': ObjectId('6385b3888d21f58603c546f5'),
'id': '925292',
'diagnosis': 'B',
'radius_mean': '14.05',
'texture_mean': '27.15',
'perimeter_mean': '91.38',
'area_mean': '600.4',
'smoothness_mean': '0.09929',
'compactness_mean': '0.1126',
'concavity_mean': '0.04462',
'concave points_mean': '0.04304',
'symmetry_mean': '0.1537',
'fractal_dimension_mean': '0.06171',
'radius_se': '0.3645',
'texture_se': '1.492',
'perimeter_se': '2.888',
'area_se': '29.84',
'smoothness_se': '0.007256',
'compactness_se': '0.02678',
'concavity_se': '0.02071',
'concave points_se': '0.01626',
'symmetry_se': '0.0208',
'fractal_dimension_se': '0.005304',
'radius_worst': '15.3',
'texture_worst': '33.17',
'perimeter_worst': '100.2',
'area_worst': '706.7',
'smoothness_worst': '0.1241',
'compactness_worst': '0.2264',
'concavity_worst': '0.1326',
'concave points_worst': '0.1048',
'symmetry_worst': '0.225',
'fractal_dimension_worst': '0.08321'},
{'_id': ObjectId('6385b3888d21f58603c546f6'),
'id': '925311',
'diagnosis': 'B',
'radius_mean': '11.2',
'texture_mean': '29.37',
'perimeter_mean': '70.67',
'area_mean': '386',
'smoothness_mean': '0.07449',
'compactness_mean': '0.03558',
'concavity_mean': '0',
'concave points_mean': '0',
'symmetry_mean': '0.106',
'fractal_dimension_mean': '0.05502',
'radius_se': '0.3141',
'texture_se': '3.896',
'perimeter_se': '2.041',
'area_se': '22.81',
'smoothness_se': '0.007594',
'compactness_se': '0.008878',
'concavity_se': '0',
'concave points_se': '0',
'symmetry_se': '0.01989',
'fractal_dimension_se': '0.001773',
'radius_worst': '11.92',
'texture_worst': '38.3',
'perimeter_worst': '75.19',
'area_worst': '439.6',
'smoothness_worst': '0.09267',
'compactness_worst': '0.05494',
'concavity_worst': '0',
'concave points_worst': '0',
'symmetry_worst': '0.1566',
'fractal_dimension_worst': '0.05905'},
{'_id': ObjectId('6385b3888d21f58603c546f7'),
'id': '925622',
'diagnosis': 'M',
'radius_mean': '15.22',
'texture_mean': '30.62',
'perimeter_mean': '103.4',
'area_mean': '716.9',
'smoothness_mean': '0.1048',
'compactness_mean': '0.2087',
'concavity_mean': '0.255',
'concave points_mean': '0.09429',
'symmetry_mean': '0.2128',
'fractal_dimension_mean': '0.07152',
'radius_se': '0.2602',
'texture_se': '1.205',
'perimeter_se': '2.362',
'area_se': '22.65',
'smoothness_se': '0.004625',
'compactness_se': '0.04844',
'concavity_se': '0.07359',
'concave points_se': '0.01608',
'symmetry_se': '0.02137',
'fractal_dimension_se': '0.006142',
'radius_worst': '17.52',
'texture_worst': '42.79',
'perimeter_worst': '128.7',
'area_worst': '915',
'smoothness_worst': '0.1417',
'compactness_worst': '0.7917',
'concavity_worst': '1.17',
'concave points_worst': '0.2356',
'symmetry_worst': '0.4089',
'fractal_dimension_worst': '0.1409'},
{'_id': ObjectId('6385b3888d21f58603c546f8'),
'id': '926125',
'diagnosis': 'M',
'radius_mean': '20.92',
'texture_mean': '25.09',
'perimeter_mean': '143',
'area_mean': '1347',
'smoothness_mean': '0.1099',
'compactness_mean': '0.2236',
'concavity_mean': '0.3174',
'concave points_mean': '0.1474',
'symmetry_mean': '0.2149',
'fractal_dimension_mean': '0.06879',
'radius_se': '0.9622',
'texture_se': '1.026',
'perimeter_se': '8.758',
'area_se': '118.8',
'smoothness_se': '0.006399',
'compactness_se': '0.0431',
'concavity_se': '0.07845',
'concave points_se': '0.02624',
'symmetry_se': '0.02057',
'fractal_dimension_se': '0.006213',
'radius_worst': '24.29',
'texture_worst': '29.41',
'perimeter_worst': '179.1',
'area_worst': '1819',
'smoothness_worst': '0.1407',
'compactness_worst': '0.4186',
'concavity_worst': '0.6599',
'concave points_worst': '0.2542',
'symmetry_worst': '0.2929',
'fractal_dimension_worst': '0.09873'},
{'_id': ObjectId('6385b3888d21f58603c546f9'),
'id': '926424',
'diagnosis': 'M',
'radius_mean': '21.56',
'texture_mean': '22.39',
'perimeter_mean': '142',
'area_mean': '1479',
'smoothness_mean': '0.111',
'compactness_mean': '0.1159',
'concavity_mean': '0.2439',
'concave points_mean': '0.1389',
'symmetry_mean': '0.1726',
'fractal_dimension_mean': '0.05623',
'radius_se': '1.176',
'texture_se': '1.256',
'perimeter_se': '7.673',
'area_se': '158.7',
'smoothness_se': '0.0103',
'compactness_se': '0.02891',
'concavity_se': '0.05198',
'concave points_se': '0.02454',
'symmetry_se': '0.01114',
'fractal_dimension_se': '0.004239',
'radius_worst': '25.45',
'texture_worst': '26.4',
'perimeter_worst': '166.1',
'area_worst': '2027',
'smoothness_worst': '0.141',
'compactness_worst': '0.2113',
'concavity_worst': '0.4107',
'concave points_worst': '0.2216',
'symmetry_worst': '0.206',
'fractal_dimension_worst': '0.07115'},
{'_id': ObjectId('6385b3888d21f58603c546fa'),
'id': '926682',
'diagnosis': 'M',
'radius_mean': '20.13',
'texture_mean': '28.25',
'perimeter_mean': '131.2',
'area_mean': '1261',
'smoothness_mean': '0.0978',
'compactness_mean': '0.1034',
'concavity_mean': '0.144',
'concave points_mean': '0.09791',
'symmetry_mean': '0.1752',
'fractal_dimension_mean': '0.05533',
'radius_se': '0.7655',
'texture_se': '2.463',
'perimeter_se': '5.203',
'area_se': '99.04',
'smoothness_se': '0.005769',
'compactness_se': '0.02423',
'concavity_se': '0.0395',
'concave points_se': '0.01678',
'symmetry_se': '0.01898',
'fractal_dimension_se': '0.002498',
'radius_worst': '23.69',
'texture_worst': '38.25',
'perimeter_worst': '155',
'area_worst': '1731',
'smoothness_worst': '0.1166',
'compactness_worst': '0.1922',
'concavity_worst': '0.3215',
'concave points_worst': '0.1628',
'symmetry_worst': '0.2572',
'fractal_dimension_worst': '0.06637'},
{'_id': ObjectId('6385b3888d21f58603c546fb'),
'id': '926954',
'diagnosis': 'M',
'radius_mean': '16.6',
'texture_mean': '28.08',
'perimeter_mean': '108.3',
'area_mean': '858.1',
'smoothness_mean': '0.08455',
'compactness_mean': '0.1023',
'concavity_mean': '0.09251',
'concave points_mean': '0.05302',
'symmetry_mean': '0.159',
'fractal_dimension_mean': '0.05648',
'radius_se': '0.4564',
'texture_se': '1.075',
'perimeter_se': '3.425',
'area_se': '48.55',
'smoothness_se': '0.005903',
'compactness_se': '0.03731',
'concavity_se': '0.0473',
'concave points_se': '0.01557',
'symmetry_se': '0.01318',
'fractal_dimension_se': '0.003892',
'radius_worst': '18.98',
'texture_worst': '34.12',
'perimeter_worst': '126.7',
'area_worst': '1124',
'smoothness_worst': '0.1139',
'compactness_worst': '0.3094',
'concavity_worst': '0.3403',
'concave points_worst': '0.1418',
'symmetry_worst': '0.2218',
'fractal_dimension_worst': '0.0782'},
{'_id': ObjectId('6385b3888d21f58603c546fc'),
'id': '927241',
'diagnosis': 'M',
'radius_mean': '20.6',
'texture_mean': '29.33',
'perimeter_mean': '140.1',
'area_mean': '1265',
'smoothness_mean': '0.1178',
'compactness_mean': '0.277',
'concavity_mean': '0.3514',
'concave points_mean': '0.152',
'symmetry_mean': '0.2397',
'fractal_dimension_mean': '0.07016',
'radius_se': '0.726',
'texture_se': '1.595',
'perimeter_se': '5.772',
'area_se': '86.22',
'smoothness_se': '0.006522',
'compactness_se': '0.06158',
'concavity_se': '0.07117',
'concave points_se': '0.01664',
'symmetry_se': '0.02324',
'fractal_dimension_se': '0.006185',
'radius_worst': '25.74',
'texture_worst': '39.42',
'perimeter_worst': '184.6',
'area_worst': '1821',
'smoothness_worst': '0.165',
'compactness_worst': '0.8681',
'concavity_worst': '0.9387',
'concave points_worst': '0.265',
'symmetry_worst': '0.4087',
'fractal_dimension_worst': '0.124'},
{'_id': ObjectId('6385b3888d21f58603c546fd'),
'id': '92751',
'diagnosis': 'B',
'radius_mean': '7.76',
'texture_mean': '24.54',
'perimeter_mean': '47.92',
'area_mean': '181',
'smoothness_mean': '0.05263',
'compactness_mean': '0.04362',
'concavity_mean': '0',
'concave points_mean': '0',
'symmetry_mean': '0.1587',
'fractal_dimension_mean': '0.05884',
'radius_se': '0.3857',
'texture_se': '1.428',
'perimeter_se': '2.548',
'area_se': '19.15',
'smoothness_se': '0.007189',
'compactness_se': '0.00466',
'concavity_se': '0',
'concave points_se': '0',
'symmetry_se': '0.02676',
'fractal_dimension_se': '0.002783',
'radius_worst': '9.456',
'texture_worst': '30.37',
'perimeter_worst': '59.16',
'area_worst': '268.6',
'smoothness_worst': '0.08996',
'compactness_worst': '0.06444',
'concavity_worst': '0',
'concave points_worst': '0',
'symmetry_worst': '0.2871',
'fractal_dimension_worst': '0.07039'}]
df = pd.DataFrame(list(db.nosql.find()))
df.drop('_id',inplace=True,axis=1)
data=df
df = df.apply(pd.to_numeric, errors='coerce')
df["diagnosis"]=data["diagnosis"]
df
| id | diagnosis | radius_mean | texture_mean | perimeter_mean | area_mean | smoothness_mean | compactness_mean | concavity_mean | concave points_mean | symmetry_mean | fractal_dimension_mean | radius_se | texture_se | perimeter_se | area_se | smoothness_se | compactness_se | concavity_se | concave points_se | symmetry_se | fractal_dimension_se | radius_worst | texture_worst | perimeter_worst | area_worst | smoothness_worst | compactness_worst | concavity_worst | concave points_worst | symmetry_worst | fractal_dimension_worst | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 842302 | M | 17.99 | 10.38 | 122.80 | 1001.0 | 0.11840 | 0.27760 | 0.30010 | 0.14710 | 0.2419 | 0.07871 | 1.0950 | 0.9053 | 8.589 | 153.40 | 0.006399 | 0.04904 | 0.05373 | 0.01587 | 0.03003 | 0.006193 | 25.380 | 17.33 | 184.60 | 2019.0 | 0.16220 | 0.66560 | 0.7119 | 0.2654 | 0.4601 | 0.11890 |
| 1 | 842517 | M | 20.57 | 17.77 | 132.90 | 1326.0 | 0.08474 | 0.07864 | 0.08690 | 0.07017 | 0.1812 | 0.05667 | 0.5435 | 0.7339 | 3.398 | 74.08 | 0.005225 | 0.01308 | 0.01860 | 0.01340 | 0.01389 | 0.003532 | 24.990 | 23.41 | 158.80 | 1956.0 | 0.12380 | 0.18660 | 0.2416 | 0.1860 | 0.2750 | 0.08902 |
| 2 | 84300903 | M | 19.69 | 21.25 | 130.00 | 1203.0 | 0.10960 | 0.15990 | 0.19740 | 0.12790 | 0.2069 | 0.05999 | 0.7456 | 0.7869 | 4.585 | 94.03 | 0.006150 | 0.04006 | 0.03832 | 0.02058 | 0.02250 | 0.004571 | 23.570 | 25.53 | 152.50 | 1709.0 | 0.14440 | 0.42450 | 0.4504 | 0.2430 | 0.3613 | 0.08758 |
| 3 | 84348301 | M | 11.42 | 20.38 | 77.58 | 386.1 | 0.14250 | 0.28390 | 0.24140 | 0.10520 | 0.2597 | 0.09744 | 0.4956 | 1.1560 | 3.445 | 27.23 | 0.009110 | 0.07458 | 0.05661 | 0.01867 | 0.05963 | 0.009208 | 14.910 | 26.50 | 98.87 | 567.7 | 0.20980 | 0.86630 | 0.6869 | 0.2575 | 0.6638 | 0.17300 |
| 4 | 84358402 | M | 20.29 | 14.34 | 135.10 | 1297.0 | 0.10030 | 0.13280 | 0.19800 | 0.10430 | 0.1809 | 0.05883 | 0.7572 | 0.7813 | 5.438 | 94.44 | 0.011490 | 0.02461 | 0.05688 | 0.01885 | 0.01756 | 0.005115 | 22.540 | 16.67 | 152.20 | 1575.0 | 0.13740 | 0.20500 | 0.4000 | 0.1625 | 0.2364 | 0.07678 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 564 | 926424 | M | 21.56 | 22.39 | 142.00 | 1479.0 | 0.11100 | 0.11590 | 0.24390 | 0.13890 | 0.1726 | 0.05623 | 1.1760 | 1.2560 | 7.673 | 158.70 | 0.010300 | 0.02891 | 0.05198 | 0.02454 | 0.01114 | 0.004239 | 25.450 | 26.40 | 166.10 | 2027.0 | 0.14100 | 0.21130 | 0.4107 | 0.2216 | 0.2060 | 0.07115 |
| 565 | 926682 | M | 20.13 | 28.25 | 131.20 | 1261.0 | 0.09780 | 0.10340 | 0.14400 | 0.09791 | 0.1752 | 0.05533 | 0.7655 | 2.4630 | 5.203 | 99.04 | 0.005769 | 0.02423 | 0.03950 | 0.01678 | 0.01898 | 0.002498 | 23.690 | 38.25 | 155.00 | 1731.0 | 0.11660 | 0.19220 | 0.3215 | 0.1628 | 0.2572 | 0.06637 |
| 566 | 926954 | M | 16.60 | 28.08 | 108.30 | 858.1 | 0.08455 | 0.10230 | 0.09251 | 0.05302 | 0.1590 | 0.05648 | 0.4564 | 1.0750 | 3.425 | 48.55 | 0.005903 | 0.03731 | 0.04730 | 0.01557 | 0.01318 | 0.003892 | 18.980 | 34.12 | 126.70 | 1124.0 | 0.11390 | 0.30940 | 0.3403 | 0.1418 | 0.2218 | 0.07820 |
| 567 | 927241 | M | 20.60 | 29.33 | 140.10 | 1265.0 | 0.11780 | 0.27700 | 0.35140 | 0.15200 | 0.2397 | 0.07016 | 0.7260 | 1.5950 | 5.772 | 86.22 | 0.006522 | 0.06158 | 0.07117 | 0.01664 | 0.02324 | 0.006185 | 25.740 | 39.42 | 184.60 | 1821.0 | 0.16500 | 0.86810 | 0.9387 | 0.2650 | 0.4087 | 0.12400 |
| 568 | 92751 | B | 7.76 | 24.54 | 47.92 | 181.0 | 0.05263 | 0.04362 | 0.00000 | 0.00000 | 0.1587 | 0.05884 | 0.3857 | 1.4280 | 2.548 | 19.15 | 0.007189 | 0.00466 | 0.00000 | 0.00000 | 0.02676 | 0.002783 | 9.456 | 30.37 | 59.16 | 268.6 | 0.08996 | 0.06444 | 0.0000 | 0.0000 | 0.2871 | 0.07039 |
569 rows × 32 columns
data=df
# Cell 1
len(data.index), len(data.columns)
(569, 32)
# Cell 2
data.shape
(569, 32)
data.head()
| id | diagnosis | radius_mean | texture_mean | perimeter_mean | area_mean | smoothness_mean | compactness_mean | concavity_mean | concave points_mean | symmetry_mean | fractal_dimension_mean | radius_se | texture_se | perimeter_se | area_se | smoothness_se | compactness_se | concavity_se | concave points_se | symmetry_se | fractal_dimension_se | radius_worst | texture_worst | perimeter_worst | area_worst | smoothness_worst | compactness_worst | concavity_worst | concave points_worst | symmetry_worst | fractal_dimension_worst | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 842302 | M | 17.99 | 10.38 | 122.80 | 1001.0 | 0.11840 | 0.27760 | 0.3001 | 0.14710 | 0.2419 | 0.07871 | 1.0950 | 0.9053 | 8.589 | 153.40 | 0.006399 | 0.04904 | 0.05373 | 0.01587 | 0.03003 | 0.006193 | 25.38 | 17.33 | 184.60 | 2019.0 | 0.1622 | 0.6656 | 0.7119 | 0.2654 | 0.4601 | 0.11890 |
| 1 | 842517 | M | 20.57 | 17.77 | 132.90 | 1326.0 | 0.08474 | 0.07864 | 0.0869 | 0.07017 | 0.1812 | 0.05667 | 0.5435 | 0.7339 | 3.398 | 74.08 | 0.005225 | 0.01308 | 0.01860 | 0.01340 | 0.01389 | 0.003532 | 24.99 | 23.41 | 158.80 | 1956.0 | 0.1238 | 0.1866 | 0.2416 | 0.1860 | 0.2750 | 0.08902 |
| 2 | 84300903 | M | 19.69 | 21.25 | 130.00 | 1203.0 | 0.10960 | 0.15990 | 0.1974 | 0.12790 | 0.2069 | 0.05999 | 0.7456 | 0.7869 | 4.585 | 94.03 | 0.006150 | 0.04006 | 0.03832 | 0.02058 | 0.02250 | 0.004571 | 23.57 | 25.53 | 152.50 | 1709.0 | 0.1444 | 0.4245 | 0.4504 | 0.2430 | 0.3613 | 0.08758 |
| 3 | 84348301 | M | 11.42 | 20.38 | 77.58 | 386.1 | 0.14250 | 0.28390 | 0.2414 | 0.10520 | 0.2597 | 0.09744 | 0.4956 | 1.1560 | 3.445 | 27.23 | 0.009110 | 0.07458 | 0.05661 | 0.01867 | 0.05963 | 0.009208 | 14.91 | 26.50 | 98.87 | 567.7 | 0.2098 | 0.8663 | 0.6869 | 0.2575 | 0.6638 | 0.17300 |
| 4 | 84358402 | M | 20.29 | 14.34 | 135.10 | 1297.0 | 0.10030 | 0.13280 | 0.1980 | 0.10430 | 0.1809 | 0.05883 | 0.7572 | 0.7813 | 5.438 | 94.44 | 0.011490 | 0.02461 | 0.05688 | 0.01885 | 0.01756 | 0.005115 | 22.54 | 16.67 | 152.20 | 1575.0 | 0.1374 | 0.2050 | 0.4000 | 0.1625 | 0.2364 | 0.07678 |
data
| id | diagnosis | radius_mean | texture_mean | perimeter_mean | area_mean | smoothness_mean | compactness_mean | concavity_mean | concave points_mean | symmetry_mean | fractal_dimension_mean | radius_se | texture_se | perimeter_se | area_se | smoothness_se | compactness_se | concavity_se | concave points_se | symmetry_se | fractal_dimension_se | radius_worst | texture_worst | perimeter_worst | area_worst | smoothness_worst | compactness_worst | concavity_worst | concave points_worst | symmetry_worst | fractal_dimension_worst | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 842302 | M | 17.99 | 10.38 | 122.80 | 1001.0 | 0.11840 | 0.27760 | 0.30010 | 0.14710 | 0.2419 | 0.07871 | 1.0950 | 0.9053 | 8.589 | 153.40 | 0.006399 | 0.04904 | 0.05373 | 0.01587 | 0.03003 | 0.006193 | 25.380 | 17.33 | 184.60 | 2019.0 | 0.16220 | 0.66560 | 0.7119 | 0.2654 | 0.4601 | 0.11890 |
| 1 | 842517 | M | 20.57 | 17.77 | 132.90 | 1326.0 | 0.08474 | 0.07864 | 0.08690 | 0.07017 | 0.1812 | 0.05667 | 0.5435 | 0.7339 | 3.398 | 74.08 | 0.005225 | 0.01308 | 0.01860 | 0.01340 | 0.01389 | 0.003532 | 24.990 | 23.41 | 158.80 | 1956.0 | 0.12380 | 0.18660 | 0.2416 | 0.1860 | 0.2750 | 0.08902 |
| 2 | 84300903 | M | 19.69 | 21.25 | 130.00 | 1203.0 | 0.10960 | 0.15990 | 0.19740 | 0.12790 | 0.2069 | 0.05999 | 0.7456 | 0.7869 | 4.585 | 94.03 | 0.006150 | 0.04006 | 0.03832 | 0.02058 | 0.02250 | 0.004571 | 23.570 | 25.53 | 152.50 | 1709.0 | 0.14440 | 0.42450 | 0.4504 | 0.2430 | 0.3613 | 0.08758 |
| 3 | 84348301 | M | 11.42 | 20.38 | 77.58 | 386.1 | 0.14250 | 0.28390 | 0.24140 | 0.10520 | 0.2597 | 0.09744 | 0.4956 | 1.1560 | 3.445 | 27.23 | 0.009110 | 0.07458 | 0.05661 | 0.01867 | 0.05963 | 0.009208 | 14.910 | 26.50 | 98.87 | 567.7 | 0.20980 | 0.86630 | 0.6869 | 0.2575 | 0.6638 | 0.17300 |
| 4 | 84358402 | M | 20.29 | 14.34 | 135.10 | 1297.0 | 0.10030 | 0.13280 | 0.19800 | 0.10430 | 0.1809 | 0.05883 | 0.7572 | 0.7813 | 5.438 | 94.44 | 0.011490 | 0.02461 | 0.05688 | 0.01885 | 0.01756 | 0.005115 | 22.540 | 16.67 | 152.20 | 1575.0 | 0.13740 | 0.20500 | 0.4000 | 0.1625 | 0.2364 | 0.07678 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 564 | 926424 | M | 21.56 | 22.39 | 142.00 | 1479.0 | 0.11100 | 0.11590 | 0.24390 | 0.13890 | 0.1726 | 0.05623 | 1.1760 | 1.2560 | 7.673 | 158.70 | 0.010300 | 0.02891 | 0.05198 | 0.02454 | 0.01114 | 0.004239 | 25.450 | 26.40 | 166.10 | 2027.0 | 0.14100 | 0.21130 | 0.4107 | 0.2216 | 0.2060 | 0.07115 |
| 565 | 926682 | M | 20.13 | 28.25 | 131.20 | 1261.0 | 0.09780 | 0.10340 | 0.14400 | 0.09791 | 0.1752 | 0.05533 | 0.7655 | 2.4630 | 5.203 | 99.04 | 0.005769 | 0.02423 | 0.03950 | 0.01678 | 0.01898 | 0.002498 | 23.690 | 38.25 | 155.00 | 1731.0 | 0.11660 | 0.19220 | 0.3215 | 0.1628 | 0.2572 | 0.06637 |
| 566 | 926954 | M | 16.60 | 28.08 | 108.30 | 858.1 | 0.08455 | 0.10230 | 0.09251 | 0.05302 | 0.1590 | 0.05648 | 0.4564 | 1.0750 | 3.425 | 48.55 | 0.005903 | 0.03731 | 0.04730 | 0.01557 | 0.01318 | 0.003892 | 18.980 | 34.12 | 126.70 | 1124.0 | 0.11390 | 0.30940 | 0.3403 | 0.1418 | 0.2218 | 0.07820 |
| 567 | 927241 | M | 20.60 | 29.33 | 140.10 | 1265.0 | 0.11780 | 0.27700 | 0.35140 | 0.15200 | 0.2397 | 0.07016 | 0.7260 | 1.5950 | 5.772 | 86.22 | 0.006522 | 0.06158 | 0.07117 | 0.01664 | 0.02324 | 0.006185 | 25.740 | 39.42 | 184.60 | 1821.0 | 0.16500 | 0.86810 | 0.9387 | 0.2650 | 0.4087 | 0.12400 |
| 568 | 92751 | B | 7.76 | 24.54 | 47.92 | 181.0 | 0.05263 | 0.04362 | 0.00000 | 0.00000 | 0.1587 | 0.05884 | 0.3857 | 1.4280 | 2.548 | 19.15 | 0.007189 | 0.00466 | 0.00000 | 0.00000 | 0.02676 | 0.002783 | 9.456 | 30.37 | 59.16 | 268.6 | 0.08996 | 0.06444 | 0.0000 | 0.0000 | 0.2871 | 0.07039 |
569 rows × 32 columns
df = df.apply(pd.to_numeric, errors='coerce')
df
| id | diagnosis | radius_mean | texture_mean | perimeter_mean | area_mean | smoothness_mean | compactness_mean | concavity_mean | concave points_mean | symmetry_mean | fractal_dimension_mean | radius_se | texture_se | perimeter_se | area_se | smoothness_se | compactness_se | concavity_se | concave points_se | symmetry_se | fractal_dimension_se | radius_worst | texture_worst | perimeter_worst | area_worst | smoothness_worst | compactness_worst | concavity_worst | concave points_worst | symmetry_worst | fractal_dimension_worst | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 842302 | NaN | 17.99 | 10.38 | 122.80 | 1001.0 | 0.11840 | 0.27760 | 0.30010 | 0.14710 | 0.2419 | 0.07871 | 1.0950 | 0.9053 | 8.589 | 153.40 | 0.006399 | 0.04904 | 0.05373 | 0.01587 | 0.03003 | 0.006193 | 25.380 | 17.33 | 184.60 | 2019.0 | 0.16220 | 0.66560 | 0.7119 | 0.2654 | 0.4601 | 0.11890 |
| 1 | 842517 | NaN | 20.57 | 17.77 | 132.90 | 1326.0 | 0.08474 | 0.07864 | 0.08690 | 0.07017 | 0.1812 | 0.05667 | 0.5435 | 0.7339 | 3.398 | 74.08 | 0.005225 | 0.01308 | 0.01860 | 0.01340 | 0.01389 | 0.003532 | 24.990 | 23.41 | 158.80 | 1956.0 | 0.12380 | 0.18660 | 0.2416 | 0.1860 | 0.2750 | 0.08902 |
| 2 | 84300903 | NaN | 19.69 | 21.25 | 130.00 | 1203.0 | 0.10960 | 0.15990 | 0.19740 | 0.12790 | 0.2069 | 0.05999 | 0.7456 | 0.7869 | 4.585 | 94.03 | 0.006150 | 0.04006 | 0.03832 | 0.02058 | 0.02250 | 0.004571 | 23.570 | 25.53 | 152.50 | 1709.0 | 0.14440 | 0.42450 | 0.4504 | 0.2430 | 0.3613 | 0.08758 |
| 3 | 84348301 | NaN | 11.42 | 20.38 | 77.58 | 386.1 | 0.14250 | 0.28390 | 0.24140 | 0.10520 | 0.2597 | 0.09744 | 0.4956 | 1.1560 | 3.445 | 27.23 | 0.009110 | 0.07458 | 0.05661 | 0.01867 | 0.05963 | 0.009208 | 14.910 | 26.50 | 98.87 | 567.7 | 0.20980 | 0.86630 | 0.6869 | 0.2575 | 0.6638 | 0.17300 |
| 4 | 84358402 | NaN | 20.29 | 14.34 | 135.10 | 1297.0 | 0.10030 | 0.13280 | 0.19800 | 0.10430 | 0.1809 | 0.05883 | 0.7572 | 0.7813 | 5.438 | 94.44 | 0.011490 | 0.02461 | 0.05688 | 0.01885 | 0.01756 | 0.005115 | 22.540 | 16.67 | 152.20 | 1575.0 | 0.13740 | 0.20500 | 0.4000 | 0.1625 | 0.2364 | 0.07678 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 564 | 926424 | NaN | 21.56 | 22.39 | 142.00 | 1479.0 | 0.11100 | 0.11590 | 0.24390 | 0.13890 | 0.1726 | 0.05623 | 1.1760 | 1.2560 | 7.673 | 158.70 | 0.010300 | 0.02891 | 0.05198 | 0.02454 | 0.01114 | 0.004239 | 25.450 | 26.40 | 166.10 | 2027.0 | 0.14100 | 0.21130 | 0.4107 | 0.2216 | 0.2060 | 0.07115 |
| 565 | 926682 | NaN | 20.13 | 28.25 | 131.20 | 1261.0 | 0.09780 | 0.10340 | 0.14400 | 0.09791 | 0.1752 | 0.05533 | 0.7655 | 2.4630 | 5.203 | 99.04 | 0.005769 | 0.02423 | 0.03950 | 0.01678 | 0.01898 | 0.002498 | 23.690 | 38.25 | 155.00 | 1731.0 | 0.11660 | 0.19220 | 0.3215 | 0.1628 | 0.2572 | 0.06637 |
| 566 | 926954 | NaN | 16.60 | 28.08 | 108.30 | 858.1 | 0.08455 | 0.10230 | 0.09251 | 0.05302 | 0.1590 | 0.05648 | 0.4564 | 1.0750 | 3.425 | 48.55 | 0.005903 | 0.03731 | 0.04730 | 0.01557 | 0.01318 | 0.003892 | 18.980 | 34.12 | 126.70 | 1124.0 | 0.11390 | 0.30940 | 0.3403 | 0.1418 | 0.2218 | 0.07820 |
| 567 | 927241 | NaN | 20.60 | 29.33 | 140.10 | 1265.0 | 0.11780 | 0.27700 | 0.35140 | 0.15200 | 0.2397 | 0.07016 | 0.7260 | 1.5950 | 5.772 | 86.22 | 0.006522 | 0.06158 | 0.07117 | 0.01664 | 0.02324 | 0.006185 | 25.740 | 39.42 | 184.60 | 1821.0 | 0.16500 | 0.86810 | 0.9387 | 0.2650 | 0.4087 | 0.12400 |
| 568 | 92751 | NaN | 7.76 | 24.54 | 47.92 | 181.0 | 0.05263 | 0.04362 | 0.00000 | 0.00000 | 0.1587 | 0.05884 | 0.3857 | 1.4280 | 2.548 | 19.15 | 0.007189 | 0.00466 | 0.00000 | 0.00000 | 0.02676 | 0.002783 | 9.456 | 30.37 | 59.16 | 268.6 | 0.08996 | 0.06444 | 0.0000 | 0.0000 | 0.2871 | 0.07039 |
569 rows × 32 columns
data.info()
<class 'pandas.core.frame.DataFrame'> RangeIndex: 569 entries, 0 to 568 Data columns (total 32 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 id 569 non-null int64 1 diagnosis 569 non-null object 2 radius_mean 569 non-null float64 3 texture_mean 569 non-null float64 4 perimeter_mean 569 non-null float64 5 area_mean 569 non-null float64 6 smoothness_mean 569 non-null float64 7 compactness_mean 569 non-null float64 8 concavity_mean 569 non-null float64 9 concave points_mean 569 non-null float64 10 symmetry_mean 569 non-null float64 11 fractal_dimension_mean 569 non-null float64 12 radius_se 569 non-null float64 13 texture_se 569 non-null float64 14 perimeter_se 569 non-null float64 15 area_se 569 non-null float64 16 smoothness_se 569 non-null float64 17 compactness_se 569 non-null float64 18 concavity_se 569 non-null float64 19 concave points_se 569 non-null float64 20 symmetry_se 569 non-null float64 21 fractal_dimension_se 569 non-null float64 22 radius_worst 569 non-null float64 23 texture_worst 569 non-null float64 24 perimeter_worst 569 non-null float64 25 area_worst 569 non-null float64 26 smoothness_worst 569 non-null float64 27 compactness_worst 569 non-null float64 28 concavity_worst 569 non-null float64 29 concave points_worst 569 non-null float64 30 symmetry_worst 569 non-null float64 31 fractal_dimension_worst 569 non-null float64 dtypes: float64(30), int64(1), object(1) memory usage: 142.4+ KB
data.isna()
| id | diagnosis | radius_mean | texture_mean | perimeter_mean | area_mean | smoothness_mean | compactness_mean | concavity_mean | concave points_mean | symmetry_mean | fractal_dimension_mean | radius_se | texture_se | perimeter_se | area_se | smoothness_se | compactness_se | concavity_se | concave points_se | symmetry_se | fractal_dimension_se | radius_worst | texture_worst | perimeter_worst | area_worst | smoothness_worst | compactness_worst | concavity_worst | concave points_worst | symmetry_worst | fractal_dimension_worst | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False |
| 1 | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False |
| 2 | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False |
| 3 | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False |
| 4 | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 564 | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False |
| 565 | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False |
| 566 | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False |
| 567 | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False |
| 568 | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False | False |
569 rows × 32 columns
data.isna().any()
id False diagnosis False radius_mean False texture_mean False perimeter_mean False area_mean False smoothness_mean False compactness_mean False concavity_mean False concave points_mean False symmetry_mean False fractal_dimension_mean False radius_se False texture_se False perimeter_se False area_se False smoothness_se False compactness_se False concavity_se False concave points_se False symmetry_se False fractal_dimension_se False radius_worst False texture_worst False perimeter_worst False area_worst False smoothness_worst False compactness_worst False concavity_worst False concave points_worst False symmetry_worst False fractal_dimension_worst False dtype: bool
data.isna().sum()
id 0 diagnosis 0 radius_mean 0 texture_mean 0 perimeter_mean 0 area_mean 0 smoothness_mean 0 compactness_mean 0 concavity_mean 0 concave points_mean 0 symmetry_mean 0 fractal_dimension_mean 0 radius_se 0 texture_se 0 perimeter_se 0 area_se 0 smoothness_se 0 compactness_se 0 concavity_se 0 concave points_se 0 symmetry_se 0 fractal_dimension_se 0 radius_worst 0 texture_worst 0 perimeter_worst 0 area_worst 0 smoothness_worst 0 compactness_worst 0 concavity_worst 0 concave points_worst 0 symmetry_worst 0 fractal_dimension_worst 0 dtype: int64
data = data.dropna(axis='columns')
data.describe(include="O")
| diagnosis | |
|---|---|
| count | 569 |
| unique | 2 |
| top | B |
| freq | 357 |
data.diagnosis.value_counts()
B 357 M 212 Name: diagnosis, dtype: int64
using value_counts method we can see number of unique values in categorical type of feature.
data.head(2)
| id | diagnosis | radius_mean | texture_mean | perimeter_mean | area_mean | smoothness_mean | compactness_mean | concavity_mean | concave points_mean | symmetry_mean | fractal_dimension_mean | radius_se | texture_se | perimeter_se | area_se | smoothness_se | compactness_se | concavity_se | concave points_se | symmetry_se | fractal_dimension_se | radius_worst | texture_worst | perimeter_worst | area_worst | smoothness_worst | compactness_worst | concavity_worst | concave points_worst | symmetry_worst | fractal_dimension_worst | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 842302 | M | 17.99 | 10.38 | 122.8 | 1001.0 | 0.11840 | 0.27760 | 0.3001 | 0.14710 | 0.2419 | 0.07871 | 1.0950 | 0.9053 | 8.589 | 153.40 | 0.006399 | 0.04904 | 0.05373 | 0.01587 | 0.03003 | 0.006193 | 25.38 | 17.33 | 184.6 | 2019.0 | 0.1622 | 0.6656 | 0.7119 | 0.2654 | 0.4601 | 0.11890 |
| 1 | 842517 | M | 20.57 | 17.77 | 132.9 | 1326.0 | 0.08474 | 0.07864 | 0.0869 | 0.07017 | 0.1812 | 0.05667 | 0.5435 | 0.7339 | 3.398 | 74.08 | 0.005225 | 0.01308 | 0.01860 | 0.01340 | 0.01389 | 0.003532 | 24.99 | 23.41 | 158.8 | 1956.0 | 0.1238 | 0.1866 | 0.2416 | 0.1860 | 0.2750 | 0.08902 |
diagnosis_unique = data.diagnosis.unique()
diagnosis_unique
array(['M', 'B'], dtype=object)
import matplotlib.pyplot as plt
import seaborn as sns
import plotly.express as px
import plotly.graph_objects as go
%matplotlib inline
sns.set_style('darkgrid')
# plt.figure(figsize=(7,12))
px.histogram(data, x='diagnosis')
# plt.show()
cols = ["diagnosis", "radius_mean", "texture_mean", "perimeter_mean", "area_mean"]
sns.pairplot(data[cols], hue="diagnosis")
plt.show()
from sklearn.preprocessing import LabelEncoder
data.head(2)
| id | diagnosis | radius_mean | texture_mean | perimeter_mean | area_mean | smoothness_mean | compactness_mean | concavity_mean | concave points_mean | symmetry_mean | fractal_dimension_mean | radius_se | texture_se | perimeter_se | area_se | smoothness_se | compactness_se | concavity_se | concave points_se | symmetry_se | fractal_dimension_se | radius_worst | texture_worst | perimeter_worst | area_worst | smoothness_worst | compactness_worst | concavity_worst | concave points_worst | symmetry_worst | fractal_dimension_worst | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 842302 | M | 17.99 | 10.38 | 122.8 | 1001.0 | 0.11840 | 0.27760 | 0.3001 | 0.14710 | 0.2419 | 0.07871 | 1.0950 | 0.9053 | 8.589 | 153.40 | 0.006399 | 0.04904 | 0.05373 | 0.01587 | 0.03003 | 0.006193 | 25.38 | 17.33 | 184.6 | 2019.0 | 0.1622 | 0.6656 | 0.7119 | 0.2654 | 0.4601 | 0.11890 |
| 1 | 842517 | M | 20.57 | 17.77 | 132.9 | 1326.0 | 0.08474 | 0.07864 | 0.0869 | 0.07017 | 0.1812 | 0.05667 | 0.5435 | 0.7339 | 3.398 | 74.08 | 0.005225 | 0.01308 | 0.01860 | 0.01340 | 0.01389 | 0.003532 | 24.99 | 23.41 | 158.8 | 1956.0 | 0.1238 | 0.1866 | 0.2416 | 0.1860 | 0.2750 | 0.08902 |
labelencoder_Y = LabelEncoder()
data.diagnosis = labelencoder_Y.fit_transform(data.diagnosis)
After converting into numerical values, we can check it's values using this way,
data.head(2)
| id | diagnosis | radius_mean | texture_mean | perimeter_mean | area_mean | smoothness_mean | compactness_mean | concavity_mean | concave points_mean | symmetry_mean | fractal_dimension_mean | radius_se | texture_se | perimeter_se | area_se | smoothness_se | compactness_se | concavity_se | concave points_se | symmetry_se | fractal_dimension_se | radius_worst | texture_worst | perimeter_worst | area_worst | smoothness_worst | compactness_worst | concavity_worst | concave points_worst | symmetry_worst | fractal_dimension_worst | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 842302 | 1 | 17.99 | 10.38 | 122.8 | 1001.0 | 0.11840 | 0.27760 | 0.3001 | 0.14710 | 0.2419 | 0.07871 | 1.0950 | 0.9053 | 8.589 | 153.40 | 0.006399 | 0.04904 | 0.05373 | 0.01587 | 0.03003 | 0.006193 | 25.38 | 17.33 | 184.6 | 2019.0 | 0.1622 | 0.6656 | 0.7119 | 0.2654 | 0.4601 | 0.11890 |
| 1 | 842517 | 1 | 20.57 | 17.77 | 132.9 | 1326.0 | 0.08474 | 0.07864 | 0.0869 | 0.07017 | 0.1812 | 0.05667 | 0.5435 | 0.7339 | 3.398 | 74.08 | 0.005225 | 0.01308 | 0.01860 | 0.01340 | 0.01389 | 0.003532 | 24.99 | 23.41 | 158.8 | 1956.0 | 0.1238 | 0.1866 | 0.2416 | 0.1860 | 0.2750 | 0.08902 |
print(data.diagnosis.value_counts())
print("\n", data.diagnosis.value_counts().sum())
0 357 1 212 Name: diagnosis, dtype: int64 569
Finnaly, We can see in this output categorical values converted into 0 and 1.
cols
['diagnosis', 'radius_mean', 'texture_mean', 'perimeter_mean', 'area_mean']
cols = ['diagnosis', 'radius_mean', 'texture_mean', 'perimeter_mean',
'area_mean', 'smoothness_mean', 'compactness_mean', 'concavity_mean',
'concave points_mean', 'symmetry_mean', 'fractal_dimension_mean']
print(len(cols))
data[cols].corr()
11
| diagnosis | radius_mean | texture_mean | perimeter_mean | area_mean | smoothness_mean | compactness_mean | concavity_mean | concave points_mean | symmetry_mean | fractal_dimension_mean | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| diagnosis | 1.000000 | 0.730029 | 0.415185 | 0.742636 | 0.708984 | 0.358560 | 0.596534 | 0.696360 | 0.776614 | 0.330499 | -0.012838 |
| radius_mean | 0.730029 | 1.000000 | 0.323782 | 0.997855 | 0.987357 | 0.170581 | 0.506124 | 0.676764 | 0.822529 | 0.147741 | -0.311631 |
| texture_mean | 0.415185 | 0.323782 | 1.000000 | 0.329533 | 0.321086 | -0.023389 | 0.236702 | 0.302418 | 0.293464 | 0.071401 | -0.076437 |
| perimeter_mean | 0.742636 | 0.997855 | 0.329533 | 1.000000 | 0.986507 | 0.207278 | 0.556936 | 0.716136 | 0.850977 | 0.183027 | -0.261477 |
| area_mean | 0.708984 | 0.987357 | 0.321086 | 0.986507 | 1.000000 | 0.177028 | 0.498502 | 0.685983 | 0.823269 | 0.151293 | -0.283110 |
| smoothness_mean | 0.358560 | 0.170581 | -0.023389 | 0.207278 | 0.177028 | 1.000000 | 0.659123 | 0.521984 | 0.553695 | 0.557775 | 0.584792 |
| compactness_mean | 0.596534 | 0.506124 | 0.236702 | 0.556936 | 0.498502 | 0.659123 | 1.000000 | 0.883121 | 0.831135 | 0.602641 | 0.565369 |
| concavity_mean | 0.696360 | 0.676764 | 0.302418 | 0.716136 | 0.685983 | 0.521984 | 0.883121 | 1.000000 | 0.921391 | 0.500667 | 0.336783 |
| concave points_mean | 0.776614 | 0.822529 | 0.293464 | 0.850977 | 0.823269 | 0.553695 | 0.831135 | 0.921391 | 1.000000 | 0.462497 | 0.166917 |
| symmetry_mean | 0.330499 | 0.147741 | 0.071401 | 0.183027 | 0.151293 | 0.557775 | 0.602641 | 0.500667 | 0.462497 | 1.000000 | 0.479921 |
| fractal_dimension_mean | -0.012838 | -0.311631 | -0.076437 | -0.261477 | -0.283110 | 0.584792 | 0.565369 | 0.336783 | 0.166917 | 0.479921 | 1.000000 |
plt.figure(figsize=(12, 9))
plt.title("Correlation Graph")
cmap = sns.diverging_palette( 1000, 120, as_cmap=True)
sns.heatmap(data[cols].corr(), annot=True, fmt='.1%', linewidths=.05, cmap=cmap);
Using, Plotly Pacage we can show it in interactive graphs like this,
plt.figure(figsize=(15, 10))
fig = px.imshow(data[cols].corr());
fig.show()
<Figure size 1500x1000 with 0 Axes>
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler
from sklearn.linear_model import LogisticRegression
from sklearn.tree import DecisionTreeClassifier
from sklearn.ensemble import RandomForestClassifier
from sklearn.naive_bayes import GaussianNB
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import accuracy_score, confusion_matrix, f1_score
from sklearn.metrics import classification_report
from sklearn.model_selection import KFold
from sklearn.model_selection import cross_validate, cross_val_score
from sklearn.svm import SVC
from sklearn import metrics
Select feature for predictions
data.columns
Index(['id', 'diagnosis', 'radius_mean', 'texture_mean', 'perimeter_mean',
'area_mean', 'smoothness_mean', 'compactness_mean', 'concavity_mean',
'concave points_mean', 'symmetry_mean', 'fractal_dimension_mean',
'radius_se', 'texture_se', 'perimeter_se', 'area_se', 'smoothness_se',
'compactness_se', 'concavity_se', 'concave points_se', 'symmetry_se',
'fractal_dimension_se', 'radius_worst', 'texture_worst',
'perimeter_worst', 'area_worst', 'smoothness_worst',
'compactness_worst', 'concavity_worst', 'concave points_worst',
'symmetry_worst', 'fractal_dimension_worst'],
dtype='object')
prediction_feature = [ "radius_mean", 'perimeter_mean', 'area_mean', 'symmetry_mean', 'compactness_mean', 'concave points_mean']
targeted_feature = 'diagnosis'
len(prediction_feature)
6
X = data[prediction_feature]
X
# print(X.shape)
# print(X.values)
| radius_mean | perimeter_mean | area_mean | symmetry_mean | compactness_mean | concave points_mean | |
|---|---|---|---|---|---|---|
| 0 | 17.99 | 122.80 | 1001.0 | 0.2419 | 0.27760 | 0.14710 |
| 1 | 20.57 | 132.90 | 1326.0 | 0.1812 | 0.07864 | 0.07017 |
| 2 | 19.69 | 130.00 | 1203.0 | 0.2069 | 0.15990 | 0.12790 |
| 3 | 11.42 | 77.58 | 386.1 | 0.2597 | 0.28390 | 0.10520 |
| 4 | 20.29 | 135.10 | 1297.0 | 0.1809 | 0.13280 | 0.10430 |
| ... | ... | ... | ... | ... | ... | ... |
| 564 | 21.56 | 142.00 | 1479.0 | 0.1726 | 0.11590 | 0.13890 |
| 565 | 20.13 | 131.20 | 1261.0 | 0.1752 | 0.10340 | 0.09791 |
| 566 | 16.60 | 108.30 | 858.1 | 0.1590 | 0.10230 | 0.05302 |
| 567 | 20.60 | 140.10 | 1265.0 | 0.2397 | 0.27700 | 0.15200 |
| 568 | 7.76 | 47.92 | 181.0 | 0.1587 | 0.04362 | 0.00000 |
569 rows × 6 columns
y = data.diagnosis
y
# print(y.values)
0 1
1 1
2 1
3 1
4 1
..
564 1
565 1
566 1
567 1
568 0
Name: diagnosis, Length: 569, dtype: int64
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.33, random_state=15)
print(X_train)
# print(X_test)
radius_mean perimeter_mean area_mean symmetry_mean compactness_mean \
274 17.93 115.20 998.9 0.1538 0.07027
189 12.30 78.83 463.7 0.1667 0.07253
158 12.06 76.84 448.6 0.1590 0.05241
257 15.32 103.20 713.3 0.2398 0.22840
486 14.64 94.21 666.0 0.1409 0.06698
.. ... ... ... ... ...
85 18.46 121.10 1075.0 0.2132 0.10530
199 14.45 94.49 642.7 0.1950 0.12060
156 17.68 117.40 963.7 0.1971 0.16650
384 13.28 85.79 541.8 0.1617 0.08575
456 11.63 74.87 415.1 0.1799 0.08574
concave points_mean
274 0.04744
189 0.01654
158 0.01963
257 0.12420
486 0.02791
.. ...
85 0.08795
199 0.05980
156 0.10540
384 0.02864
456 0.02017
[381 rows x 6 columns]
Standardize features by removing the mean and scaling to unit variance
The standard score of a sample x is calculated as:
# Scale the data to keep all the values in the same magnitude of 0 -1
sc = StandardScaler()
X_train = sc.fit_transform(X_train)
X_test = sc.fit_transform(X_test)
def model_building(model, X_train, X_test, y_train, y_test):
model.fit(X_train, y_train)
score = model.score(X_train, y_train)
predictions = model.predict(X_test)
accuracy = accuracy_score(predictions, y_test)
return (score, accuracy, predictions)
Let's make a dictionary for multiple models for bulk predictions
models_list = {
"LogisticRegression" : LogisticRegression(),
"RandomForestClassifier" : RandomForestClassifier(n_estimators=10, criterion='entropy', random_state=5),
"DecisionTreeClassifier" : DecisionTreeClassifier(criterion='entropy', random_state=0),
"SVC" : SVC(),
}
# print(models_list)
Before, sending it to the prediction check the key and values to store it's values in DataFrame below.
print(list(models_list.keys()))
print(list(models_list.values()))
# print(zip(list(models_list.keys()), list(models_list.values())))
['LogisticRegression', 'RandomForestClassifier', 'DecisionTreeClassifier', 'SVC'] [LogisticRegression(), RandomForestClassifier(criterion='entropy', n_estimators=10, random_state=5), DecisionTreeClassifier(criterion='entropy', random_state=0), SVC()]
# Let's Define the function for confision metric Graphs
def cm_metrix_graph(cm):
sns.heatmap(cm,annot=True,fmt="d")
plt.show()
df_prediction = []
confusion_matrixs = []
df_prediction_cols = [ 'model_name', 'score', 'accuracy_score' , "accuracy_percentage"]
for name, model in zip(list(models_list.keys()), list(models_list.values())):
(score, accuracy, predictions) = model_building(model, X_train, X_test, y_train, y_test )
print("\n\nClassification Report of '"+ str(name), "'\n")
print(classification_report(y_test, predictions))
df_prediction.append([name, score, accuracy, "{0:.2%}".format(accuracy)])
# For Showing Metrics
confusion_matrixs.append(confusion_matrix(y_test, predictions))
df_pred = pd.DataFrame(df_prediction, columns=df_prediction_cols)
Classification Report of 'LogisticRegression '
precision recall f1-score support
0 0.90 0.96 0.93 115
1 0.92 0.84 0.88 73
accuracy 0.91 188
macro avg 0.91 0.90 0.90 188
weighted avg 0.91 0.91 0.91 188
Classification Report of 'RandomForestClassifier '
precision recall f1-score support
0 0.92 0.96 0.94 115
1 0.93 0.88 0.90 73
accuracy 0.93 188
macro avg 0.93 0.92 0.92 188
weighted avg 0.93 0.93 0.93 188
Classification Report of 'DecisionTreeClassifier '
precision recall f1-score support
0 0.90 0.96 0.93 115
1 0.92 0.84 0.88 73
accuracy 0.91 188
macro avg 0.91 0.90 0.90 188
weighted avg 0.91 0.91 0.91 188
Classification Report of 'SVC '
precision recall f1-score support
0 0.90 0.97 0.93 115
1 0.94 0.84 0.88 73
accuracy 0.91 188
macro avg 0.92 0.90 0.91 188
weighted avg 0.92 0.91 0.91 188
print(len(confusion_matrixs))
4
plt.figure(figsize=(10, 2))
# plt.title("Confusion Metric Graph")
for index, cm in enumerate(confusion_matrixs):
plt.xlabel("Negative Positive")
plt.ylabel("True Positive")
# Show The Metrics Graph
cm_metrix_graph(cm) # Call the Confusion Metrics Graph
plt.tight_layout(pad=True)
<Figure size 640x480 with 0 Axes>
While Predicting we can store model's score and prediction values to new generated dataframe
df_pred
| model_name | score | accuracy_score | accuracy_percentage | |
|---|---|---|---|---|
| 0 | LogisticRegression | 0.916010 | 0.909574 | 90.96% |
| 1 | RandomForestClassifier | 0.992126 | 0.925532 | 92.55% |
| 2 | DecisionTreeClassifier | 1.000000 | 0.909574 | 90.96% |
| 3 | SVC | 0.923885 | 0.914894 | 91.49% |
df_pred.sort_values('score', ascending=False)
df_pred.sort_values('accuracy_score', ascending=False)
| model_name | score | accuracy_score | accuracy_percentage | |
|---|---|---|---|---|
| 1 | RandomForestClassifier | 0.992126 | 0.925532 | 92.55% |
| 3 | SVC | 0.923885 | 0.914894 | 91.49% |
| 0 | LogisticRegression | 0.916010 | 0.909574 | 90.96% |
| 2 | DecisionTreeClassifier | 1.000000 | 0.909574 | 90.96% |
len(data)
# print(len(X))
569
# Sample For testing only
cv_score = cross_validate(LogisticRegression(), X, y, cv=3,
scoring=('r2', 'neg_mean_squared_error'),
return_train_score=True)
pd.DataFrame(cv_score).describe().T
| count | mean | std | min | 25% | 50% | 75% | max | |
|---|---|---|---|---|---|---|---|---|
| fit_time | 3.0 | 0.009365 | 0.005189 | 0.006075 | 0.006374 | 0.006674 | 0.011010 | 0.015346 |
| score_time | 3.0 | 0.001436 | 0.000072 | 0.001384 | 0.001395 | 0.001407 | 0.001462 | 0.001518 |
| test_r2 | 3.0 | 0.534312 | 0.186125 | 0.325364 | 0.460291 | 0.595218 | 0.638786 | 0.682353 |
| train_r2 | 3.0 | 0.545196 | 0.051555 | 0.514363 | 0.515437 | 0.516511 | 0.560613 | 0.604714 |
| test_neg_mean_squared_error | 3.0 | -0.108902 | 0.043669 | -0.157895 | -0.126316 | -0.094737 | -0.084405 | -0.074074 |
| train_neg_mean_squared_error | 3.0 | -0.106321 | 0.012102 | -0.113456 | -0.113307 | -0.113158 | -0.102753 | -0.092348 |
Let's define a functino for cross validation scorring for multiple ML models
def cross_val_scorring(model):
# (score, accuracy, predictions) = model_building(model, X_train, X_test, y_train, y_test )
model.fit(data[prediction_feature], data[targeted_feature])
# score = model.score(X_train, y_train)
predictions = model.predict(data[prediction_feature])
accuracy = accuracy_score(predictions, data[targeted_feature])
print("\nFull-Data Accuracy:", round(accuracy, 2))
print("Cross Validation Score of'"+ str(name), "'\n")
# Initialize K folds.
kFold = KFold(n_splits=5) # define 5 diffrent data folds
err = []
for train_index, test_index in kFold.split(data):
# print("TRAIN:", train_index, "TEST:", test_index)
# Data Spliting via fold indexes
X_train = data[prediction_feature].iloc[train_index, :] # train_index = rows and all columns for Prediction_features
y_train = data[targeted_feature].iloc[train_index] # all targeted features trains
X_test = data[prediction_feature].iloc[test_index, :] # testing all rows and cols
y_test = data[targeted_feature].iloc[test_index] # all targeted tests
# Again Model Fitting
model.fit(X_train, y_train)
err.append(model.score(X_train, y_train))
print("Score:", round(np.mean(err), 2) )
Call the function to know the cross validation function by mean for our select model predictions.
for name, model in zip(list(models_list.keys()), list(models_list.values())):
cross_val_scorring(model)
Full-Data Accuracy: 0.9 Cross Validation Score of'LogisticRegression ' Score: 0.91 Score: 0.91 Score: 0.9 Score: 0.9 Score: 0.9 Full-Data Accuracy: 1.0 Cross Validation Score of'RandomForestClassifier ' Score: 0.99 Score: 0.99 Score: 0.99 Score: 1.0 Score: 1.0 Full-Data Accuracy: 1.0 Cross Validation Score of'DecisionTreeClassifier ' Score: 1.0 Score: 1.0 Score: 1.0 Score: 1.0 Score: 1.0 Full-Data Accuracy: 0.89 Cross Validation Score of'SVC ' Score: 0.9 Score: 0.89 Score: 0.88 Score: 0.88 Score: 0.88
from sklearn.model_selection import GridSearchCV
# Let's Implement Grid Search Algorithm
# Pick the model
model = DecisionTreeClassifier()
# Tunning Params
param_grid = {'max_features': ['auto', 'sqrt', 'log2'],
'min_samples_split': [2,3,4,5,6,7,8,9,10],
'min_samples_leaf':[2,3,4,5,6,7,8,9,10] }
# Implement GridSearchCV
gsc = GridSearchCV(model, param_grid, cv=10) # For 10 Cross-Validation
gsc.fit(X_train, y_train) # Model Fitting
print("\n Best Score is ")
print(gsc.best_score_)
print("\n Best Estinator is ")
print(gsc.best_estimator_)
print("\n Best Parametes are")
print(gsc.best_params_)
/Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`. /Library/Frameworks/Python.framework/Versions/3.9/lib/python3.9/site-packages/sklearn/tree/_classes.py:298: FutureWarning: `max_features='auto'` has been deprecated in 1.1 and will be removed in 1.3. To keep the past behaviour, explicitly set `max_features='sqrt'`.
Best Score is
0.931646423751687
Best Estinator is
DecisionTreeClassifier(max_features='sqrt', min_samples_leaf=6,
min_samples_split=3)
Best Parametes are
{'max_features': 'sqrt', 'min_samples_leaf': 6, 'min_samples_split': 3}
# Pick the model
model = KNeighborsClassifier()
# Tunning Params
param_grid = {
'n_neighbors': list(range(1, 30)),
'leaf_size': list(range(1,30)),
'weights': [ 'distance', 'uniform' ]
}
# Implement GridSearchCV
gsc = GridSearchCV(model, param_grid, cv=10)
# Model Fitting
gsc.fit(X_train, y_train)
print("\n Best Score is ")
print(gsc.best_score_)
print("\n Best Estinator is ")
print(gsc.best_estimator_)
print("\n Best Parametes are")
print(gsc.best_params_)
Best Score is
0.9159244264507423
Best Estinator is
KNeighborsClassifier(leaf_size=1, n_neighbors=10)
Best Parametes are
{'leaf_size': 1, 'n_neighbors': 10, 'weights': 'uniform'}
# Pick the model
model = SVC()
# Tunning Params
param_grid = [
{'C': [1, 10, 100, 1000],
'kernel': ['linear']
},
{'C': [1, 10, 100, 1000],
'gamma': [0.001, 0.0001],
'kernel': ['rbf']
}
]
# Implement GridSearchCV
gsc = GridSearchCV(model, param_grid, cv=10) # 10 Cross Validation
# Model Fitting
gsc.fit(X_train, y_train)
print("\n Best Score is ")
print(gsc.best_score_)
print("\n Best Estinator is ")
print(gsc.best_estimator_)
print("\n Best Parametes are")
print(gsc.best_params_)
Best Score is
0.9184885290148447
Best Estinator is
SVC(C=10, gamma=0.001)
Best Parametes are
{'C': 10, 'gamma': 0.001, 'kernel': 'rbf'}